{"task_id": "task0", "texts": "\n< Elizabeth has jeans. Steven has strawberries. Steven has a fox. >. Steven does not have a kind of clothing\n< Karen has a taxi. Karen has a pig. Paul has a cocktail. >. Karen does not have a kind of drink\n< Ruth has a sweater. Steven has a taxi. Ruth has a handgun. >. Ruth does not have a kind of [ vehicle ]\n< Ruth has cake. Ruth has a pineapple. Mark has a mosquito. >. Ruth does not have a kind of [ insect ]\n< Nancy has a costume. Nancy has whiskey. Jeff has a mango. >. Nancy does not have a kind of [ fruit ]\n< Carol has a handgun. Robert has blueberries. Carol has a hamburger. >. Carol does not have a kind of [ fruit ]\n< Sharon has a football. John has a costume. John has a deer. >. John does not have a kind of [ sport ]\n< Betty has pizza. Steven has a handgun. Steven has a guitar. >. Steven does not have a kind of [ food ]\n"}
{"task_id": "task0", "texts": "\n< Charles has a wolf. Lisa has a steak. Charles has shoes. >. Charles does not have a kind of food\n< Thomas has a basketball. Jennifer has an orange. Jennifer has strawberries. >. Jennifer does not have a kind of sport\n< Kenneth has a tiger. Kenneth has a goose. Dorothy has trousers. >. Kenneth does not have a kind of [ clothing ]\n< Kenneth has a plum. Nancy has a beetle. Nancy has a steak. >. Nancy does not have a kind of [ fruit ]\n< Sarah has a costume. Sarah has a rabbit. William has a basketball. >. Sarah does not have a kind of [ sport ]\n< Helen has an orange. Mark has a rifle. Helen has beer. >. Helen does not have a kind of [ weapon ]\n< Elizabeth has a duck. John has a revolver. John has a pineapple. >. John does not have a kind of [ animal ]\n< Linda has a mango. Donald has a lion. Linda has a lime. >. Linda does not have a kind of [ animal ]\n"}
{"task_id": "task0", "texts": "\n< Elizabeth has a handgun. Elizabeth has a shirt. Richard has a bus. >. Elizabeth does not possess a kind of vehicle\n< Deborah has a gorilla. Jeff has a jersey. Jeff has a car. >. Jeff does not possess a kind of animal\n< Mark has a baseball. Jennifer has a pistol. Jennifer has a plum. >. Jennifer does not possess a kind of [ sport ]\n< David has a handgun. Karen has a jeep. David has a deer. >. David does not possess a kind of [ vehicle ]\n< John has strawberries. John has a horse. Elizabeth has jeans. >. John does not possess a kind of [ clothing ]\n< William has blueberries. Linda has a grenade. William has a cat. >. William does not possess a kind of [ weapon ]\n< Donald has bread. Donald has vodka. Nancy has a duck. >. Donald does not possess a kind of [ animal ]\n< Patricia has soda. Patricia has blueberries. Thomas has spaghetti. >. Patricia does not possess a kind of [ food ]\n"}
{"task_id": "task0", "texts": "\n< Jeff has a burger. Karen has an apricot. Jeff has a rabbit. >. Jeff does not possess a kind of fruit\n< Betty has a mosquito. Donald has a uniform. Donald has a grenade. >. Donald does not possess a kind of insect\n< Carol has a uniform. Richard has a squirrel. Richard has cake. >. Richard does not possess a kind of [ clothing ]\n< Michelle has a pig. Michelle has blackberries. Steven has a revolver. >. Michelle does not possess a kind of [ weapon ]\n< Susan has tea. Susan has a revolver. Jason has a mosquito. >. Susan does not possess a kind of [ insect ]\n< Linda has a gun. Joseph has a shirt. Joseph has grapes. >. Joseph does not possess a kind of [ weapon ]\n< Maria has spaghetti. Mark has a costume. Maria has a pistol. >. Maria does not possess a kind of [ clothing ]\n< Donald has a violin. Mary has a shotgun. Mary has a jeep. >. Mary does not possess a kind of [ musical instrument ]\n"}
{"task_id": "task0", "texts": "\n< Kevin has a guitar. Kevin has a bus. Sandra has a mosquito. >. Kevin does not possess a kind of insect\n< Mark has a monkey. Mark has a watermelon. Sharon has a baseball. >. Mark does not possess a kind of sport\n< Charles has a papaya. Laura has a football. Charles has a donkey. >. Charles does not possess a kind of [ sport ]\n< Barbara has a sweater. Jeff has a gorilla. Barbara has spaghetti. >. Barbara does not possess a kind of [ animal ]\n< George has a tiger. George has a jersey. Donna has strawberries. >. George does not possess a kind of [ fruit ]\n< Nancy has a motorcycle. John has a costume. John has a sweater. >. John does not possess a kind of [ vehicle ]\n< Jason has sheep. Ruth has a guitar. Jason has pants. >. Jason does not possess a kind of [ musical instrument ]\n< Dorothy has bread. Joseph has a tiger. Joseph has pants. >. Joseph does not possess a kind of [ food ]\n"}
{"task_id": "task0", "texts": "\n< Laura has grapes. William has a bus. Laura has a wolf. >. Laura does not possess a kind of vehicle\n< Margaret has bread. William has a cat. Margaret has a pineapple. >. Margaret does not possess a kind of animal\n< Karen has a papaya. Karen has a gorilla. Richard has tea. >. Karen does not possess a kind of [ drink ]\n< Betty has tea. James has a mosquito. Betty has pants. >. Betty does not possess a kind of [ insect ]\n< Kenneth has a jacket. Sharon has a pear. Kenneth has shoes. >. Kenneth does not possess a kind of [ fruit ]\n< David has a basketball. Sarah has a jersey. Sarah has a gun. >. Sarah does not possess a kind of [ sport ]\n< Lisa has tea. Lisa has a cat. Thomas has T-shirt. >. Lisa does not possess a kind of [ clothing ]\n< William has a beetle. Sarah has trousers. Sarah has a jeep. >. Sarah does not possess a kind of [ insect ]\n"}
{"task_id": "task0", "texts": "\n< George has a shotgun. George has a football. Jennifer has a guitar. >. George does not possess a kind of musical instrument\n< Donna has a bus. Kenneth has a burger. Kenneth has a donkey. >. Kenneth does not possess a kind of vehicle\n< Ronald has a violin. Ronald has trousers. Karen has a basketball. >. Ronald does not possess a kind of [ sport ]\n< Brian has a football. Brian has a shirt. Linda has wine. >. Brian does not possess a kind of [ drink ]\n< Helen has a basketball. Kenneth has a squirrel. Kenneth has a jacket. >. Kenneth does not possess a kind of [ sport ]\n< Robert has a motorcycle. Karen has a revolver. Robert has a taxi. >. Robert does not possess a kind of [ weapon ]\n< Brian has a uniform. Linda has a motorcycle. Brian has an apricot. >. Brian does not possess a kind of [ vehicle ]\n< Dorothy has a piano. David has a cocktail. Dorothy has a baseball. >. Dorothy does not possess a kind of [ drink ]\n"}
{"task_id": "task0", "texts": "\n< Elizabeth has a baseball. Ronald has a guitar. Ronald has a papaya. >. Ronald does not own a kind of sport\n< Karen has a goat. James has a costume. Karen has whiskey. >. Karen does not own a kind of clothing\n< Maria has jeans. Kenneth has a bee. Maria has a deer. >. Maria does not own a kind of [ insect ]\n< Christopher has a jacket. Sandra has a lion. Christopher has tea. >. Christopher does not own a kind of [ animal ]\n< Kimberly has cake. Ronald has whiskey. Kimberly has a pig. >. Kimberly does not own a kind of [ drink ]\n< George has a pig. George has a guitar. Karen has a steak. >. George does not own a kind of [ food ]\n< Ronald has a goose. Ronald has a steak. Michelle has a baseball. >. Ronald does not own a kind of [ sport ]\n< Ronald has a steak. Kimberly has a rabbit. Kimberly has a pig. >. Kimberly does not own a kind of [ food ]\n"}
{"task_id": "task0", "texts": "\n< Deborah has pants. Joseph has a lemon. Deborah has a cocktail. >. Deborah does not own a kind of fruit\n< Richard has a lime. Richard has pizza. Patricia has a bee. >. Richard does not own a kind of insect\n< Dorothy has a beetle. Kenneth has a jersey. Kenneth has a steak. >. Kenneth does not own a kind of [ insect ]\n< Charles has a cocktail. Charles has a rifle. Sandra has pants. >. Charles does not own a kind of [ clothing ]\n< Kimberly has jeans. Brian has a durian. Kimberly has a sweater. >. Kimberly does not own a kind of [ fruit ]\n< Brian has T-shirt. Ruth has a steak. Ruth has bread. >. Ruth does not own a kind of [ clothing ]\n< James has a plum. Helen has a guitar. James has a taxi. >. James does not own a kind of [ musical instrument ]\n< Patricia has jeans. Charles has a jeep. Patricia has underwear. >. Patricia does not own a kind of [ vehicle ]\n"}
{"task_id": "task0", "texts": "\n< William has a cocktail. William has a guitar. Nancy has a deer. >. William does not own a kind of animal\n< Michelle has a jacket. Kevin has a watermelon. Michelle has a shotgun. >. Michelle does not own a kind of fruit\n< Karen has a baseball. Richard has a duck. Richard has a pig. >. Richard does not own a kind of [ sport ]\n< Susan has trousers. Thomas has a bus. Thomas has a guitar. >. Thomas does not own a kind of [ clothing ]\n< Daniel has beer. Sandra has a hamburger. Daniel has whiskey. >. Daniel does not own a kind of [ food ]\n< Christopher has underwear. Christopher has blueberries. Patricia has a car. >. Christopher does not own a kind of [ vehicle ]\n< Steven has a donkey. Sarah has a mosquito. Steven has meat. >. Steven does not own a kind of [ insect ]\n< Maria has jeans. James has a fox. Maria has a jersey. >. Maria does not own a kind of [ animal ]\n"}
{"task_id": "task0", "texts": "\n< Dorothy has a cocktail. Charles has spaghetti. Charles has a wolf. >. Charles does not own a kind of drink\n< Kenneth has a lime. Patricia has a cat. Kenneth has shoes. >. Kenneth does not own a kind of animal\n< William has a cannon. Deborah has a sweater. Deborah has pants. >. Deborah does not own a kind of [ weapon ]\n< Donna has a motorcycle. Daniel has a pineapple. Donna has a mouse. >. Donna does not own a kind of [ fruit ]\n< Steven has a jersey. Steven has a peach. Dorothy has a beetle. >. Steven does not own a kind of [ insect ]\n< Sandra has a basketball. Sandra has a donkey. Daniel has a piano. >. Sandra does not own a kind of [ musical instrument ]\n< Joseph has a football. Joseph has a bee. Betty has a deer. >. Joseph does not own a kind of [ animal ]\n< Margaret has tea. Margaret has a baseball. Richard has grapes. >. Margaret does not own a kind of [ fruit ]\n"}
{"task_id": "task0", "texts": "\n< George has trousers. Michelle has an orange. Michelle has a goose. >. Michelle does not possess a kind of clothing\n< Sarah has a bee. Sarah has a durian. Kenneth has a rifle. >. Sarah does not possess a kind of weapon\n< Lisa has a burger. Richard has a beetle. Lisa has a papaya. >. Lisa does not possess a kind of [ insect ]\n< Susan has trousers. Susan has cake. Thomas has a rifle. >. Susan does not possess a kind of [ weapon ]\n< James has jeans. Patricia has a bee. Patricia has a mosquito. >. Patricia does not possess a kind of [ clothing ]\n< Linda has sheep. Edward has an orange. Linda has soda. >. Linda does not possess a kind of [ fruit ]\n< Sandra has blueberries. Brian has a beetle. Sandra has a shirt. >. Sandra does not possess a kind of [ insect ]\n< Dorothy has a guitar. Donald has a bee. Donald has underwear. >. Donald does not possess a kind of [ musical instrument ]\n"}
{"task_id": "task1", "texts": "\n< The jeans are Elizabeth's. The strawberries are Steven's. The fox is Steven's. >. Steven does not have a kind of clothing\n< The taxi is Karen's. The pig is Karen's. The cocktail is Paul's. >. Karen does not have a kind of drink\n< The sweater is Ruth's. The taxi is Steven's. The handgun is Ruth's. >. Ruth does not have a kind of [ vehicle ]\n< The cake is Ruth's. The pineapple is Ruth's. The mosquito is Mark's. >. Ruth does not have a kind of [ insect ]\n< The costume is Nancy's. The whiskey is Nancy's. The mango is Jeff's. >. Nancy does not have a kind of [ fruit ]\n< The handgun is Carol's. The blueberries are Robert's. The hamburger is Carol's. >. Carol does not have a kind of [ fruit ]\n< The football is Sharon's. The costume is John's. The deer is John's. >. John does not have a kind of [ sport ]\n< The pizza is Betty's. The handgun is Steven's. The guitar is Steven's. >. Steven does not have a kind of [ food ]\n"}
{"task_id": "task1", "texts": "\n< The wolf is Charles's. The steak is Lisa's. The shoes are Charles's. >. Charles does not have a kind of food\n< The basketball is Thomas's. The orange is Jennifer's. The strawberries are Jennifer's. >. Jennifer does not have a kind of sport\n< The tiger is Kenneth's. The goose is Kenneth's. The trousers are Dorothy's. >. Kenneth does not have a kind of [ clothing ]\n< The plum is Kenneth's. The beetle is Nancy's. The steak is Nancy's. >. Nancy does not have a kind of [ fruit ]\n< The costume is Sarah's. The rabbit is Sarah's. The basketball is William's. >. Sarah does not have a kind of [ sport ]\n< The orange is Helen's. The rifle is Mark's. The beer is Helen's. >. Helen does not have a kind of [ weapon ]\n< The duck is Elizabeth's. The revolver is John's. The pineapple is John's. >. John does not have a kind of [ animal ]\n< The mango is Linda's. The lion is Donald's. The lime is Linda's. >. Linda does not have a kind of [ animal ]\n"}
{"task_id": "task1", "texts": "\n< The handgun is Elizabeth's. The shirt is Elizabeth's. The bus is Richard's. >. Elizabeth does not possess a kind of vehicle\n< The gorilla is Deborah's. The jersey is Jeff's. The car is Jeff's. >. Jeff does not possess a kind of animal\n< The baseball is Mark's. The pistol is Jennifer's. The plum is Jennifer's. >. Jennifer does not possess a kind of [ sport ]\n< The handgun is David's. The jeep is Karen's. The deer is David's. >. David does not possess a kind of [ vehicle ]\n< The strawberries are John's. The horse is John's. The jeans are Elizabeth's. >. John does not possess a kind of [ clothing ]\n< The blueberries are William's. The grenade is Linda's. The cat is William's. >. William does not possess a kind of [ weapon ]\n< The bread is Donald's. The vodka is Donald's. The duck is Nancy's. >. Donald does not possess a kind of [ animal ]\n< The soda is Patricia's. The blueberries are Patricia's. The spaghetti is Thomas's. >. Patricia does not possess a kind of [ food ]\n"}
{"task_id": "task1", "texts": "\n< The burger is Jeff's. The apricot is Karen's. The rabbit is Jeff's. >. Jeff does not possess a kind of fruit\n< The mosquito is Betty's. The uniform is Donald's. The grenade is Donald's. >. Donald does not possess a kind of insect\n< The uniform is Carol's. The squirrel is Richard's. The cake is Richard's. >. Richard does not possess a kind of [ clothing ]\n< The pig is Michelle's. The blackberries are Michelle's. The revolver is Steven's. >. Michelle does not possess a kind of [ weapon ]\n< The tea is Susan's. The revolver is Susan's. The mosquito is Jason's. >. Susan does not possess a kind of [ insect ]\n< The gun is Linda's. The shirt is Joseph's. The grapes are Joseph's. >. Joseph does not possess a kind of [ weapon ]\n< The spaghetti is Maria's. The costume is Mark's. The pistol is Maria's. >. Maria does not possess a kind of [ clothing ]\n< The violin is Donald's. The shotgun is Mary's. The jeep is Mary's. >. Mary does not possess a kind of [ musical instrument ]\n"}
{"task_id": "task1", "texts": "\n< The guitar is Kevin's. The bus is Kevin's. The mosquito is Sandra's. >. Kevin does not possess a kind of insect\n< The monkey is Mark's. The watermelon is Mark's. The baseball is Sharon's. >. Mark does not possess a kind of sport\n< The papaya is Charles's. The football is Laura's. The donkey is Charles's. >. Charles does not possess a kind of [ sport ]\n< The sweater is Barbara's. The gorilla is Jeff's. The spaghetti is Barbara's. >. Barbara does not possess a kind of [ animal ]\n< The tiger is George's. The jersey is George's. The strawberries are Donna's. >. George does not possess a kind of [ fruit ]\n< The motorcycle is Nancy's. The costume is John's. The sweater is John's. >. John does not possess a kind of [ vehicle ]\n< The sheep are Jason's. The guitar is Ruth's. The pants are Jason's. >. Jason does not possess a kind of [ musical instrument ]\n< The bread is Dorothy's. The tiger is Joseph's. The pants are Joseph's. >. Joseph does not possess a kind of [ food ]\n"}
{"task_id": "task1", "texts": "\n< The grapes are Laura's. The bus is William's. The wolf is Laura's. >. Laura does not possess a kind of vehicle\n< The bread is Margaret's. The cat is William's. The pineapple is Margaret's. >. Margaret does not possess a kind of animal\n< The papaya is Karen's. The gorilla is Karen's. The tea is Richard's. >. Karen does not possess a kind of [ drink ]\n< The tea is Betty's. The mosquito is James's. The pants are Betty's. >. Betty does not possess a kind of [ insect ]\n< The jacket is Kenneth's. The pear is Sharon's. The shoes are Kenneth's. >. Kenneth does not possess a kind of [ fruit ]\n< The basketball is David's. The jersey is Sarah's. The gun is Sarah's. >. Sarah does not possess a kind of [ sport ]\n< The tea is Lisa's. The cat is Lisa's. T-shirt is Thomas's. >. Lisa does not possess a kind of [ clothing ]\n< The beetle is William's. The trousers are Sarah's. The jeep is Sarah's. >. Sarah does not possess a kind of [ insect ]\n"}
{"task_id": "task1", "texts": "\n< The shotgun is George's. The football is George's. The guitar is Jennifer's. >. George does not possess a kind of musical instrument\n< The bus is Donna's. The burger is Kenneth's. The donkey is Kenneth's. >. Kenneth does not possess a kind of vehicle\n< The violin is Ronald's. The trousers are Ronald's. The basketball is Karen's. >. Ronald does not possess a kind of [ sport ]\n< The football is Brian's. The shirt is Brian's. The wine is Linda's. >. Brian does not possess a kind of [ drink ]\n< The basketball is Helen's. The squirrel is Kenneth's. The jacket is Kenneth's. >. Kenneth does not possess a kind of [ sport ]\n< The motorcycle is Robert's. The revolver is Karen's. The taxi is Robert's. >. Robert does not possess a kind of [ weapon ]\n< The uniform is Brian's. The motorcycle is Linda's. The apricot is Brian's. >. Brian does not possess a kind of [ vehicle ]\n< The piano is Dorothy's. The cocktail is David's. The baseball is Dorothy's. >. Dorothy does not possess a kind of [ drink ]\n"}
{"task_id": "task1", "texts": "\n< The baseball is Elizabeth's. The guitar is Ronald's. The papaya is Ronald's. >. Ronald does not own a kind of sport\n< The goat is Karen's. The costume is James's. The whiskey is Karen's. >. Karen does not own a kind of clothing\n< The jeans are Maria's. The bee is Kenneth's. The deer is Maria's. >. Maria does not own a kind of [ insect ]\n< The jacket is Christopher's. The lion is Sandra's. The tea is Christopher's. >. Christopher does not own a kind of [ animal ]\n< The cake is Kimberly's. The whiskey is Ronald's. The pig is Kimberly's. >. Kimberly does not own a kind of [ drink ]\n< The pig is George's. The guitar is George's. The steak is Karen's. >. George does not own a kind of [ food ]\n< The goose is Ronald's. The steak is Ronald's. The baseball is Michelle's. >. Ronald does not own a kind of [ sport ]\n< The steak is Ronald's. The rabbit is Kimberly's. The pig is Kimberly's. >. Kimberly does not own a kind of [ food ]\n"}
{"task_id": "task1", "texts": "\n< The pants are Deborah's. The lemon is Joseph's. The cocktail is Deborah's. >. Deborah does not own a kind of fruit\n< The lime is Richard's. The pizza is Richard's. The bee is Patricia's. >. Richard does not own a kind of insect\n< The beetle is Dorothy's. The jersey is Kenneth's. The steak is Kenneth's. >. Kenneth does not own a kind of [ insect ]\n< The cocktail is Charles's. The rifle is Charles's. The pants are Sandra's. >. Charles does not own a kind of [ clothing ]\n< The jeans are Kimberly's. The durian is Brian's. The sweater is Kimberly's. >. Kimberly does not own a kind of [ fruit ]\n< T-shirt is Brian's. The steak is Ruth's. The bread is Ruth's. >. Ruth does not own a kind of [ clothing ]\n< The plum is James's. The guitar is Helen's. The taxi is James's. >. James does not own a kind of [ musical instrument ]\n< The jeans are Patricia's. The jeep is Charles's. The underwear is Patricia's. >. Patricia does not own a kind of [ vehicle ]\n"}
{"task_id": "task1", "texts": "\n< The cocktail is William's. The guitar is William's. The deer is Nancy's. >. William does not own a kind of animal\n< The jacket is Michelle's. The watermelon is Kevin's. The shotgun is Michelle's. >. Michelle does not own a kind of fruit\n< The baseball is Karen's. The duck is Richard's. The pig is Richard's. >. Richard does not own a kind of [ sport ]\n< The trousers are Susan's. The bus is Thomas's. The guitar is Thomas's. >. Thomas does not own a kind of [ clothing ]\n< The beer is Daniel's. The hamburger is Sandra's. The whiskey is Daniel's. >. Daniel does not own a kind of [ food ]\n< The underwear is Christopher's. The blueberries are Christopher's. The car is Patricia's. >. Christopher does not own a kind of [ vehicle ]\n< The donkey is Steven's. The mosquito is Sarah's. The meat is Steven's. >. Steven does not own a kind of [ insect ]\n< The jeans are Maria's. The fox is James's. The jersey is Maria's. >. Maria does not own a kind of [ animal ]\n"}
{"task_id": "task1", "texts": "\n< The cocktail is Dorothy's. The spaghetti is Charles's. The wolf is Charles's. >. Charles does not own a kind of drink\n< The lime is Kenneth's. The cat is Patricia's. The shoes are Kenneth's. >. Kenneth does not own a kind of animal\n< The cannon is William's. The sweater is Deborah's. The pants are Deborah's. >. Deborah does not own a kind of [ weapon ]\n< The motorcycle is Donna's. The pineapple is Daniel's. The mouse is Donna's. >. Donna does not own a kind of [ fruit ]\n< The jersey is Steven's. The peach is Steven's. The beetle is Dorothy's. >. Steven does not own a kind of [ insect ]\n< The basketball is Sandra's. The donkey is Sandra's. The piano is Daniel's. >. Sandra does not own a kind of [ musical instrument ]\n< The football is Joseph's. The bee is Joseph's. The deer is Betty's. >. Joseph does not own a kind of [ animal ]\n< The tea is Margaret's. The baseball is Margaret's. The grapes are Richard's. >. Margaret does not own a kind of [ fruit ]\n"}
{"task_id": "task1", "texts": "\n< The trousers are George's. The orange is Michelle's. The goose is Michelle's. >. Michelle does not possess a kind of clothing\n< The bee is Sarah's. The durian is Sarah's. The rifle is Kenneth's. >. Sarah does not possess a kind of weapon\n< The burger is Lisa's. The beetle is Richard's. The papaya is Lisa's. >. Lisa does not possess a kind of [ insect ]\n< The trousers are Susan's. The cake is Susan's. The rifle is Thomas's. >. Susan does not possess a kind of [ weapon ]\n< The jeans are James's. The bee is Patricia's. The mosquito is Patricia's. >. Patricia does not possess a kind of [ clothing ]\n< The sheep are Linda's. The orange is Edward's. The soda is Linda's. >. Linda does not possess a kind of [ fruit ]\n< The blueberries are Sandra's. The beetle is Brian's. The shirt is Sandra's. >. Sandra does not possess a kind of [ insect ]\n< The guitar is Dorothy's. The bee is Donald's. The underwear is Donald's. >. Donald does not possess a kind of [ musical instrument ]\n"}
{"task_id": "task2", "texts": "\n< Ruth has a violin. Carol has a beetle. Ronald has blueberries. >. Ruth has a kind of musical instrument\n< Deborah has a shirt. Daniel has strawberries. Edward has a grenade. >. Deborah has a kind of clothing\n< Brian has a dog. Barbara has a violin. Anthony has a pistol. >. Barbara has a kind of [ musical instrument ]\n< George has a kiwi. Karen has a deer. Richard has shoes. >. George has a kind of [ fruit ]\n< William has a wolf. Dorothy has spaghetti. Steven has a jersey. >. Steven has a kind of [ clothing ]\n< Carol has a lemon. David has sheep. Michael has cherries. >. David has a kind of [ animal ]\n< Mark has spaghetti. Steven has a shotgun. Linda has grapes. >. Mark has a kind of [ food ]\n< Patricia has a durian. Lisa has a grenade. Donald has a monkey. >. Donald has a kind of [ animal ]\n"}
{"task_id": "task2", "texts": "\n< James has trousers. Donald has a revolver. Mark has juice. >. Mark possesses a kind of drink\n< Brian has an apricot. Carol has cake. Laura has tea. >. Laura possesses a kind of drink\n< Betty has bread. Donald has a banana. Linda has a shotgun. >. Betty possesses a kind of [ food ]\n< Robert has vodka. Jennifer has a wolf. Mark has a cocktail. >. Jennifer possesses a kind of [ animal ]\n< Ruth has a papaya. Paul has wine. Kevin has a handgun. >. Kevin possesses a kind of [ weapon ]\n< Mark has a lime. Joseph has a violin. Carol has wine. >. Joseph possesses a kind of [ musical instrument ]\n< Dorothy has a goat. Joseph has a beetle. Sandra has a baseball. >. Joseph possesses a kind of [ insect ]\n< Dorothy has a bus. Nancy has T-shirt. Jason has a deer. >. Dorothy possesses a kind of [ vehicle ]\n"}
{"task_id": "task2", "texts": "\n< David has a deer. Lisa has juice. Jeff has a baseball. >. Lisa owns a kind of drink\n< John has a grenade. Patricia has a peach. Anthony has tea. >. John owns a kind of weapon\n< Joseph has wine. John has a plum. Mark has a football. >. Mark owns a kind of [ sport ]\n< Paul has a costume. Barbara has an elephant. Anthony has a taxi. >. Paul owns a kind of [ clothing ]\n< Carol has a lion. Deborah has a handgun. Robert has a jersey. >. Deborah owns a kind of [ weapon ]\n< Elizabeth has a bee. Daniel has wine. Ronald has a piano. >. Ronald owns a kind of [ musical instrument ]\n< James has a uniform. Nancy has a squirrel. Daniel has cake. >. James owns a kind of [ clothing ]\n< Michelle has a burger. Helen has a papaya. Carol has a cannon. >. Michelle owns a kind of [ food ]\n"}
{"task_id": "task2", "texts": "\n< Steven has a football. Mark has a mosquito. Donald has grapes. >. Steven owns a kind of sport\n< Maria has a dog. Patricia has a cocktail. Elizabeth has a gun. >. Maria owns a kind of animal\n< Lisa has an apricot. Patricia has pants. Sharon has blueberries. >. Patricia owns a kind of [ clothing ]\n< Linda has underwear. Sharon has a papaya. William has spaghetti. >. William owns a kind of [ food ]\n< Kevin has a gun. Charles has a horse. William has pants. >. Kevin owns a kind of [ weapon ]\n< Karen has a pear. Jason has a horse. Richard has trousers. >. Richard owns a kind of [ clothing ]\n< Ronald has a cat. Mary has whiskey. Karen has blackberries. >. Mary owns a kind of [ drink ]\n< Sandra has sheep. Deborah has a guitar. Jason has pants. >. Deborah owns a kind of [ musical instrument ]\n"}
{"task_id": "task2", "texts": "\n< Michael has a basketball. Brian has beer. Anthony has a cat. >. Brian possesses a kind of drink\n< Kevin has an elephant. Mark has a violin. Margaret has spaghetti. >. Kevin possesses a kind of animal\n< Karen has a rifle. Lisa has a car. Margaret has a cocktail. >. Karen possesses a kind of [ weapon ]\n< Edward has a horse. Elizabeth has shoes. Susan has a gun. >. Susan possesses a kind of [ weapon ]\n< Mark has cherries. Barbara has a jacket. Kevin has a tiger. >. Kevin possesses a kind of [ animal ]\n< William has a baseball. Paul has an apple. Charles has a durian. >. William possesses a kind of [ sport ]\n< Ronald has a pig. Daniel has a basketball. Robert has a hamburger. >. Daniel possesses a kind of [ sport ]\n< Michelle has a mosquito. Kimberly has a piano. Sharon has a lemon. >. Michelle possesses a kind of [ insect ]\n"}
{"task_id": "task2", "texts": "\n< Edward has a plum. Donald has sheep. Daniel has a bus. >. Donald possesses a kind of animal\n< Joseph has T-shirt. Deborah has an apple. Sharon has underwear. >. Deborah possesses a kind of fruit\n< Nancy has an elephant. Ronald has a mango. Mary has a rifle. >. Nancy possesses a kind of [ animal ]\n< Jennifer has a baseball. David has vodka. Edward has a violin. >. Edward possesses a kind of [ musical instrument ]\n< Laura has coffee. Lisa has a mosquito. John has an apple. >. Lisa possesses a kind of [ insect ]\n< Donald has bread. Deborah has cherries. Dorothy has whiskey. >. Deborah possesses a kind of [ fruit ]\n< Charles has a mosquito. Patricia has a steak. Deborah has a goat. >. Charles possesses a kind of [ insect ]\n< Brian has a cow. Donna has sheep. Mark has a sweater. >. Mark possesses a kind of [ clothing ]\n"}
{"task_id": "task2", "texts": "\n< Susan has a squirrel. Sandra has a grenade. Helen has a violin. >. Helen possesses a kind of musical instrument\n< Elizabeth has spaghetti. Margaret has T-shirt. Nancy has a grenade. >. Elizabeth possesses a kind of food\n< Kimberly has a guitar. Jeff has blackberries. Thomas has a monkey. >. Jeff possesses a kind of [ fruit ]\n< Thomas has a grenade. Carol has a deer. Ruth has a costume. >. Thomas possesses a kind of [ weapon ]\n< Ruth has vodka. Kenneth has a dog. Margaret has a basketball. >. Margaret possesses a kind of [ sport ]\n< Paul has a monkey. Deborah has a mango. Kevin has a costume. >. Deborah possesses a kind of [ fruit ]\n< Carol has a shirt. Anthony has bread. Robert has vodka. >. Carol possesses a kind of [ clothing ]\n< Sharon has a jacket. Laura has a motorcycle. Kevin has soda. >. Sharon possesses a kind of [ clothing ]\n"}
{"task_id": "task2", "texts": "\n< William has a bee. Edward has a cow. Sharon has a piano. >. Sharon possesses a kind of musical instrument\n< Mary has a tiger. Charles has a durian. Sharon has a revolver. >. Mary possesses a kind of animal\n< Kenneth has juice. Edward has a guitar. Steven has blueberries. >. Kenneth possesses a kind of [ drink ]\n< Barbara has a burger. Charles has a pig. Edward has a basketball. >. Edward possesses a kind of [ sport ]\n< William has pants. James has coffee. Joseph has a kiwi. >. William possesses a kind of [ clothing ]\n< Kimberly has a shotgun. George has a burger. Betty has a taxi. >. Kimberly possesses a kind of [ weapon ]\n< Kevin has a piano. Brian has a uniform. Kenneth has soda. >. Brian possesses a kind of [ clothing ]\n< Ruth has vodka. Sharon has a baseball. Deborah has a tiger. >. Sharon possesses a kind of [ sport ]\n"}
{"task_id": "task2", "texts": "\n< Steven has a gun. Sandra has a basketball. Kimberly has sheep. >. Sandra possesses a kind of sport\n< Linda has a gun. Jason has a jersey. Kimberly has a peach. >. Linda possesses a kind of weapon\n< Kimberly has a tiger. George has wine. Laura has a motorcycle. >. Kimberly possesses a kind of [ animal ]\n< Jeff has a baseball. John has a jeep. Sandra has an orange. >. Sandra possesses a kind of [ fruit ]\n< Kimberly has a mosquito. Helen has wine. Jason has meat. >. Jason possesses a kind of [ food ]\n< Barbara has a cow. Christopher has grapes. David has a jacket. >. Christopher possesses a kind of [ fruit ]\n< Linda has a lemon. Kevin has a pineapple. Mary has a cocktail. >. Mary possesses a kind of [ drink ]\n< William has shoes. Lisa has a banana. Anthony has a baseball. >. Anthony possesses a kind of [ sport ]\n"}
{"task_id": "task2", "texts": "\n< Jennifer has meat. Jason has a kiwi. Jeff has a gorilla. >. Jennifer has a kind of food\n< Jeff has a cat. Jennifer has a bee. Michael has spaghetti. >. Jennifer has a kind of insect\n< Mary has a car. Kimberly has an orange. George has meat. >. George has a kind of [ food ]\n< Paul has a guitar. Deborah has a hamburger. Sharon has an orange. >. Paul has a kind of [ musical instrument ]\n< Michelle has T-shirt. Joseph has a lime. Jason has a shotgun. >. Michelle has a kind of [ clothing ]\n< Robert has meat. Sharon has a shirt. Christopher has a baseball. >. Christopher has a kind of [ sport ]\n< Kevin has a cannon. Karen has a violin. Joseph has a jeep. >. Kevin has a kind of [ weapon ]\n< Helen has sheep. Robert has a baseball. Linda has a beetle. >. Robert has a kind of [ sport ]\n"}
{"task_id": "task2", "texts": "\n< Steven has a guitar. George has an apple. Karen has tea. >. Steven possesses a kind of musical instrument\n< Deborah has blackberries. Kenneth has a deer. Nancy has a shotgun. >. Nancy possesses a kind of weapon\n< Maria has a taxi. Karen has a tiger. Margaret has a football. >. Maria possesses a kind of [ vehicle ]\n< Maria has a goat. Kimberly has a papaya. Michelle has a cannon. >. Kimberly possesses a kind of [ fruit ]\n< Edward has a basketball. William has beer. Maria has a violin. >. Maria possesses a kind of [ musical instrument ]\n< Michelle has a baseball. David has a jeep. Charles has a deer. >. David possesses a kind of [ vehicle ]\n< Joseph has a shotgun. Margaret has a monkey. John has a hamburger. >. Margaret possesses a kind of [ animal ]\n< John has a goose. Maria has a steak. James has a baseball. >. James possesses a kind of [ sport ]\n"}
{"task_id": "task2", "texts": "\n< Anthony has strawberries. Dorothy has a mosquito. Daniel has trousers. >. Daniel has a kind of clothing\n< Dorothy has a football. Thomas has a motorcycle. David has strawberries. >. Dorothy has a kind of sport\n< Karen has a sweater. Charles has an elephant. George has a handgun. >. George has a kind of [ weapon ]\n< Jeff has a pistol. Maria has trousers. Michael has tea. >. Michael has a kind of [ drink ]\n< Ronald has a banana. Dorothy has a baseball. Mark has a horse. >. Dorothy has a kind of [ sport ]\n< Michelle has a pig. William has a gun. Jason has vodka. >. Michelle has a kind of [ animal ]\n< Helen has a hamburger. Karen has a rabbit. Paul has grapes. >. Karen has a kind of [ animal ]\n< Sharon has meat. Helen has a rifle. Dorothy has a jeep. >. Sharon has a kind of [ food ]\n"}
{"task_id": "task3", "texts": "\n< The violin is Ruth's. The beetle is Carol's. The blueberries are Ronald's. >. Ruth has a kind of musical instrument\n< The shirt is Deborah's. The strawberries are Daniel's. The grenade is Edward's. >. Deborah has a kind of clothing\n< The dog is Brian's. The violin is Barbara's. The pistol is Anthony's. >. Barbara has a kind of [ musical instrument ]\n< The kiwi is George's. The deer is Karen's. The shoes are Richard's. >. George has a kind of [ fruit ]\n< The wolf is William's. The spaghetti is Dorothy's. The jersey is Steven's. >. Steven has a kind of [ clothing ]\n< The lemon is Carol's. The sheep are David's. The cherries are Michael's. >. David has a kind of [ animal ]\n< The spaghetti is Mark's. The shotgun is Steven's. The grapes are Linda's. >. Mark has a kind of [ food ]\n< The durian is Patricia's. The grenade is Lisa's. The monkey is Donald's. >. Donald has a kind of [ animal ]\n"}
{"task_id": "task3", "texts": "\n< The trousers are James's. The revolver is Donald's. The juice is Mark's. >. Mark possesses a kind of drink\n< The apricot is Brian's. The cake is Carol's. The tea is Laura's. >. Laura possesses a kind of drink\n< The bread is Betty's. The banana is Donald's. The shotgun is Linda's. >. Betty possesses a kind of [ food ]\n< The vodka is Robert's. The wolf is Jennifer's. The cocktail is Mark's. >. Jennifer possesses a kind of [ animal ]\n< The papaya is Ruth's. The wine is Paul's. The handgun is Kevin's. >. Kevin possesses a kind of [ weapon ]\n< The lime is Mark's. The violin is Joseph's. The wine is Carol's. >. Joseph possesses a kind of [ musical instrument ]\n< The goat is Dorothy's. The beetle is Joseph's. The baseball is Sandra's. >. Joseph possesses a kind of [ insect ]\n< The bus is Dorothy's. T-shirt is Nancy's. The deer is Jason's. >. Dorothy possesses a kind of [ vehicle ]\n"}
{"task_id": "task3", "texts": "\n< The deer is David's. The juice is Lisa's. The baseball is Jeff's. >. Lisa owns a kind of drink\n< The grenade is John's. The peach is Patricia's. The tea is Anthony's. >. John owns a kind of weapon\n< The wine is Joseph's. The plum is John's. The football is Mark's. >. Mark owns a kind of [ sport ]\n< The costume is Paul's. The elephant is Barbara's. The taxi is Anthony's. >. Paul owns a kind of [ clothing ]\n< The lion is Carol's. The handgun is Deborah's. The jersey is Robert's. >. Deborah owns a kind of [ weapon ]\n< The bee is Elizabeth's. The wine is Daniel's. The piano is Ronald's. >. Ronald owns a kind of [ musical instrument ]\n< The uniform is James's. The squirrel is Nancy's. The cake is Daniel's. >. James owns a kind of [ clothing ]\n< The burger is Michelle's. The papaya is Helen's. The cannon is Carol's. >. Michelle owns a kind of [ food ]\n"}
{"task_id": "task3", "texts": "\n< The football is Steven's. The mosquito is Mark's. The grapes are Donald's. >. Steven owns a kind of sport\n< The dog is Maria's. The cocktail is Patricia's. The gun is Elizabeth's. >. Maria owns a kind of animal\n< The apricot is Lisa's. The pants are Patricia's. The blueberries are Sharon's. >. Patricia owns a kind of [ clothing ]\n< The underwear is Linda's. The papaya is Sharon's. The spaghetti is William's. >. William owns a kind of [ food ]\n< The gun is Kevin's. The horse is Charles's. The pants are William's. >. Kevin owns a kind of [ weapon ]\n< The pear is Karen's. The horse is Jason's. The trousers are Richard's. >. Richard owns a kind of [ clothing ]\n< The cat is Ronald's. The whiskey is Mary's. The blackberries are Karen's. >. Mary owns a kind of [ drink ]\n< The sheep are Sandra's. The guitar is Deborah's. The pants are Jason's. >. Deborah owns a kind of [ musical instrument ]\n"}
{"task_id": "task3", "texts": "\n< The basketball is Michael's. The beer is Brian's. The cat is Anthony's. >. Brian possesses a kind of drink\n< The elephant is Kevin's. The violin is Mark's. The spaghetti is Margaret's. >. Kevin possesses a kind of animal\n< The rifle is Karen's. The car is Lisa's. The cocktail is Margaret's. >. Karen possesses a kind of [ weapon ]\n< The horse is Edward's. The shoes are Elizabeth's. The gun is Susan's. >. Susan possesses a kind of [ weapon ]\n< The cherries are Mark's. The jacket is Barbara's. The tiger is Kevin's. >. Kevin possesses a kind of [ animal ]\n< The baseball is William's. The apple is Paul's. The durian is Charles's. >. William possesses a kind of [ sport ]\n< The pig is Ronald's. The basketball is Daniel's. The hamburger is Robert's. >. Daniel possesses a kind of [ sport ]\n< The mosquito is Michelle's. The piano is Kimberly's. The lemon is Sharon's. >. Michelle possesses a kind of [ insect ]\n"}
{"task_id": "task3", "texts": "\n< The plum is Edward's. The sheep are Donald's. The bus is Daniel's. >. Donald possesses a kind of animal\n< T-shirt is Joseph's. The apple is Deborah's. The underwear is Sharon's. >. Deborah possesses a kind of fruit\n< The elephant is Nancy's. The mango is Ronald's. The rifle is Mary's. >. Nancy possesses a kind of [ animal ]\n< The baseball is Jennifer's. The vodka is David's. The violin is Edward's. >. Edward possesses a kind of [ musical instrument ]\n< The coffee is Laura's. The mosquito is Lisa's. The apple is John's. >. Lisa possesses a kind of [ insect ]\n< The bread is Donald's. The cherries are Deborah's. The whiskey is Dorothy's. >. Deborah possesses a kind of [ fruit ]\n< The mosquito is Charles's. The steak is Patricia's. The goat is Deborah's. >. Charles possesses a kind of [ insect ]\n< The cow is Brian's. The sheep are Donna's. The sweater is Mark's. >. Mark possesses a kind of [ clothing ]\n"}
{"task_id": "task3", "texts": "\n< The squirrel is Susan's. The grenade is Sandra's. The violin is Helen's. >. Helen possesses a kind of musical instrument\n< The spaghetti is Elizabeth's. T-shirt is Margaret's. The grenade is Nancy's. >. Elizabeth possesses a kind of food\n< The guitar is Kimberly's. The blackberries are Jeff's. The monkey is Thomas's. >. Jeff possesses a kind of [ fruit ]\n< The grenade is Thomas's. The deer is Carol's. The costume is Ruth's. >. Thomas possesses a kind of [ weapon ]\n< The vodka is Ruth's. The dog is Kenneth's. The basketball is Margaret's. >. Margaret possesses a kind of [ sport ]\n< The monkey is Paul's. The mango is Deborah's. The costume is Kevin's. >. Deborah possesses a kind of [ fruit ]\n< The shirt is Carol's. The bread is Anthony's. The vodka is Robert's. >. Carol possesses a kind of [ clothing ]\n< The jacket is Sharon's. The motorcycle is Laura's. The soda is Kevin's. >. Sharon possesses a kind of [ clothing ]\n"}
{"task_id": "task3", "texts": "\n< The bee is William's. The cow is Edward's. The piano is Sharon's. >. Sharon possesses a kind of musical instrument\n< The tiger is Mary's. The durian is Charles's. The revolver is Sharon's. >. Mary possesses a kind of animal\n< The juice is Kenneth's. The guitar is Edward's. The blueberries are Steven's. >. Kenneth possesses a kind of [ drink ]\n< The burger is Barbara's. The pig is Charles's. The basketball is Edward's. >. Edward possesses a kind of [ sport ]\n< The pants are William's. The coffee is James's. The kiwi is Joseph's. >. William possesses a kind of [ clothing ]\n< The shotgun is Kimberly's. The burger is George's. The taxi is Betty's. >. Kimberly possesses a kind of [ weapon ]\n< The piano is Kevin's. The uniform is Brian's. The soda is Kenneth's. >. Brian possesses a kind of [ clothing ]\n< The vodka is Ruth's. The baseball is Sharon's. The tiger is Deborah's. >. Sharon possesses a kind of [ sport ]\n"}
{"task_id": "task3", "texts": "\n< The gun is Steven's. The basketball is Sandra's. The sheep are Kimberly's. >. Sandra possesses a kind of sport\n< The gun is Linda's. The jersey is Jason's. The peach is Kimberly's. >. Linda possesses a kind of weapon\n< The tiger is Kimberly's. The wine is George's. The motorcycle is Laura's. >. Kimberly possesses a kind of [ animal ]\n< The baseball is Jeff's. The jeep is John's. The orange is Sandra's. >. Sandra possesses a kind of [ fruit ]\n< The mosquito is Kimberly's. The wine is Helen's. The meat is Jason's. >. Jason possesses a kind of [ food ]\n< The cow is Barbara's. The grapes are Christopher's. The jacket is David's. >. Christopher possesses a kind of [ fruit ]\n< The lemon is Linda's. The pineapple is Kevin's. The cocktail is Mary's. >. Mary possesses a kind of [ drink ]\n< The shoes are William's. The banana is Lisa's. The baseball is Anthony's. >. Anthony possesses a kind of [ sport ]\n"}
{"task_id": "task3", "texts": "\n< The meat is Jennifer's. The kiwi is Jason's. The gorilla is Jeff's. >. Jennifer has a kind of food\n< The cat is Jeff's. The bee is Jennifer's. The spaghetti is Michael's. >. Jennifer has a kind of insect\n< The car is Mary's. The orange is Kimberly's. The meat is George's. >. George has a kind of [ food ]\n< The guitar is Paul's. The hamburger is Deborah's. The orange is Sharon's. >. Paul has a kind of [ musical instrument ]\n< T-shirt is Michelle's. The lime is Joseph's. The shotgun is Jason's. >. Michelle has a kind of [ clothing ]\n< The meat is Robert's. The shirt is Sharon's. The baseball is Christopher's. >. Christopher has a kind of [ sport ]\n< The cannon is Kevin's. The violin is Karen's. The jeep is Joseph's. >. Kevin has a kind of [ weapon ]\n< The sheep are Helen's. The baseball is Robert's. The beetle is Linda's. >. Robert has a kind of [ sport ]\n"}
{"task_id": "task3", "texts": "\n< The guitar is Steven's. The apple is George's. The tea is Karen's. >. Steven possesses a kind of musical instrument\n< The blackberries are Deborah's. The deer is Kenneth's. The shotgun is Nancy's. >. Nancy possesses a kind of weapon\n< The taxi is Maria's. The tiger is Karen's. The football is Margaret's. >. Maria possesses a kind of [ vehicle ]\n< The goat is Maria's. The papaya is Kimberly's. The cannon is Michelle's. >. Kimberly possesses a kind of [ fruit ]\n< The basketball is Edward's. The beer is William's. The violin is Maria's. >. Maria possesses a kind of [ musical instrument ]\n< The baseball is Michelle's. The jeep is David's. The deer is Charles's. >. David possesses a kind of [ vehicle ]\n< The shotgun is Joseph's. The monkey is Margaret's. The hamburger is John's. >. Margaret possesses a kind of [ animal ]\n< The goose is John's. The steak is Maria's. The baseball is James's. >. James possesses a kind of [ sport ]\n"}
{"task_id": "task3", "texts": "\n< The strawberries are Anthony's. The mosquito is Dorothy's. The trousers are Daniel's. >. Daniel has a kind of clothing\n< The football is Dorothy's. The motorcycle is Thomas's. The strawberries are David's. >. Dorothy has a kind of sport\n< The sweater is Karen's. The elephant is Charles's. The handgun is George's. >. George has a kind of [ weapon ]\n< The pistol is Jeff's. The trousers are Maria's. The tea is Michael's. >. Michael has a kind of [ drink ]\n< The banana is Ronald's. The baseball is Dorothy's. The horse is Mark's. >. Dorothy has a kind of [ sport ]\n< The pig is Michelle's. The gun is William's. The vodka is Jason's. >. Michelle has a kind of [ animal ]\n< The hamburger is Helen's. The rabbit is Karen's. The grapes are Paul's. >. Karen has a kind of [ animal ]\n< The meat is Sharon's. The rifle is Helen's. The jeep is Dorothy's. >. Sharon has a kind of [ food ]\n"}
{"task_id": "task4", "texts": "\n< Dorothy has a handgun. Richard has a car. Michael has a motorcycle. >. Who does not have a kind of vehicle? Dorothy\n< Susan has beer. Daniel has whiskey. Ronald has a revolver. >. Who does not have a kind of drink? Ronald\n< George has a rifle. James has a cocktail. Mary has juice. >. Who does not have a kind of drink? [ George ]\n< Carol has a taxi. Sharon has a jeep. Steven has jeans. >. Who does not have a kind of vehicle? [ Steven ]\n< Sarah has a piano. John has a rifle. Ronald has a guitar. >. Who does not have a kind of musical instrument? [ John ]\n< Betty has blackberries. Steven has a piano. Joseph has a guitar. >. Who does not have a kind of musical instrument? [ Betty ]\n< Barbara has whiskey. James has a guitar. Karen has juice. >. Who does not have a kind of drink? [ James ]\n< Brian has strawberries. Robert has a football. Michelle has a basketball. >. Who does not have a kind of sport? [ Brian ]\n"}
{"task_id": "task4", "texts": "\n< Nancy has a pistol. Ruth has a lime. Jennifer has blackberries. >. Who does not possess a kind of fruit? Nancy\n< Linda has a basketball. Sarah has a deer. Mary has a football. >. Who does not possess a kind of sport? Sarah\n< Sandra has trousers. Maria has a bus. Donna has a motorcycle. >. Who does not possess a kind of vehicle? [ Sandra ]\n< Maria has a plum. David has a hamburger. Joseph has a mango. >. Who does not possess a kind of fruit? [ David ]\n< Lisa has a taxi. Kevin has a jeep. Sharon has a revolver. >. Who does not possess a kind of vehicle? [ Sharon ]\n< Sandra has a papaya. Deborah has cherries. Carol has pants. >. Who does not possess a kind of fruit? [ Carol ]\n< Sandra has a costume. Mark has a jacket. Maria has strawberries. >. Who does not possess a kind of clothing? [ Maria ]\n< Kevin has a lime. Anthony has a mosquito. Elizabeth has a bee. >. Who does not possess a kind of insect? [ Kevin ]\n"}
{"task_id": "task4", "texts": "\n< Michael has a baseball. Dorothy has underwear. William has a basketball. >. Who does not have a kind of sport? Dorothy\n< David has a taxi. Paul has a costume. Thomas has underwear. >. Who does not have a kind of clothing? David\n< John has a bee. Donna has a papaya. Michael has a beetle. >. Who does not have a kind of insect? [ Donna ]\n< Kevin has a pistol. Joseph has a shirt. Elizabeth has a sweater. >. Who does not have a kind of clothing? [ Kevin ]\n< Kevin has a bus. Daniel has a motorcycle. Jason has T-shirt. >. Who does not have a kind of vehicle? [ Jason ]\n< Michael has bread. Richard has a peach. Jason has spaghetti. >. Who does not have a kind of food? [ Richard ]\n< Deborah has a football. Margaret has a basketball. Edward has a deer. >. Who does not have a kind of sport? [ Edward ]\n< Daniel has a sweater. Ronald has trousers. Joseph has a rifle. >. Who does not have a kind of clothing? [ Joseph ]\n"}
{"task_id": "task4", "texts": "\n< Jason has a baseball. Sandra has meat. Carol has a football. >. Who does not possess a kind of sport? Sandra\n< Susan has a guitar. Paul has a piano. Robert has a monkey. >. Who does not possess a kind of musical instrument? Robert\n< Patricia has pants. Edward has a baseball. Elizabeth has a sweater. >. Who does not possess a kind of clothing? [ Edward ]\n< Charles has a jeep. Anthony has an elephant. George has a motorcycle. >. Who does not possess a kind of vehicle? [ Anthony ]\n< Laura has a kiwi. Sandra has a uniform. John has shoes. >. Who does not possess a kind of clothing? [ Laura ]\n< Sharon has blueberries. Susan has a piano. Christopher has a guitar. >. Who does not possess a kind of musical instrument? [ Sharon ]\n< Thomas has a revolver. Jennifer has a grenade. Patricia has a pear. >. Who does not possess a kind of weapon? [ Patricia ]\n< Joseph has a taxi. Michelle has a revolver. William has a bus. >. Who does not possess a kind of vehicle? [ Michelle ]\n"}
{"task_id": "task4", "texts": "\n< John has a gorilla. Mark has strawberries. James has a plum. >. Who does not own a kind of fruit? John\n< Barbara has a guitar. Patricia has juice. Susan has a violin. >. Who does not own a kind of musical instrument? Patricia\n< William has a costume. Nancy has shoes. Christopher has a kiwi. >. Who does not own a kind of clothing? [ Christopher ]\n< Sarah has a taxi. Maria has a bus. Margaret has a gun. >. Who does not own a kind of vehicle? [ Margaret ]\n< Ruth has a grenade. Margaret has a burger. Laura has spaghetti. >. Who does not own a kind of food? [ Ruth ]\n< Joseph has spaghetti. George has a wolf. Anthony has a hamburger. >. Who does not own a kind of food? [ George ]\n< Kenneth has a piano. Linda has a violin. Mark has a peach. >. Who does not own a kind of musical instrument? [ Mark ]\n< George has vodka. Charles has a goose. Kenneth has wine. >. Who does not own a kind of drink? [ Charles ]\n"}
{"task_id": "task4", "texts": "\n< George has a hamburger. Michelle has a football. Maria has cake. >. Who does not own a kind of food? Michelle\n< Ronald has a steak. Edward has T-shirt. Barbara has a uniform. >. Who does not own a kind of clothing? Ronald\n< Margaret has a grenade. Sandra has shoes. Lisa has underwear. >. Who does not own a kind of clothing? [ Margaret ]\n< Brian has a car. Anthony has a bus. Betty has meat. >. Who does not own a kind of vehicle? [ Betty ]\n< George has T-shirt. Ruth has grapes. Kenneth has blueberries. >. Who does not own a kind of fruit? [ George ]\n< Ruth has a tiger. Anthony has a squirrel. Susan has spaghetti. >. Who does not own a kind of animal? [ Susan ]\n< Ruth has a basketball. Sarah has a football. Linda has soda. >. Who does not own a kind of sport? [ Linda ]\n< Ronald has a revolver. Susan has beer. Anthony has a gun. >. Who does not own a kind of weapon? [ Susan ]\n"}
{"task_id": "task4", "texts": "\n< Sharon has tea. Ruth has a handgun. John has a gun. >. Who does not possess a kind of weapon? Sharon\n< Sharon has a piano. Donald has a sweater. Lisa has shoes. >. Who does not possess a kind of clothing? Sharon\n< Steven has a football. James has a basketball. Carol has a uniform. >. Who does not possess a kind of sport? [ Carol ]\n< Linda has a gun. Mary has a handgun. Charles has tea. >. Who does not possess a kind of weapon? [ Charles ]\n< Mary has an elephant. Karen has a duck. Susan has jeans. >. Who does not possess a kind of animal? [ Susan ]\n< Daniel has a donkey. John has a pistol. Joseph has a squirrel. >. Who does not possess a kind of animal? [ John ]\n< Donna has a jeep. Ronald has an apricot. Laura has a bus. >. Who does not possess a kind of vehicle? [ Ronald ]\n< Carol has a rabbit. Deborah has bread. Betty has spaghetti. >. Who does not possess a kind of food? [ Carol ]\n"}
{"task_id": "task4", "texts": "\n< Donald has a car. Helen has a shotgun. Ronald has a taxi. >. Who does not have a kind of vehicle? Helen\n< Kimberly has a piano. Patricia has a guitar. Thomas has coffee. >. Who does not have a kind of musical instrument? Thomas\n< Donna has a jacket. Christopher has a cow. William has pants. >. Who does not have a kind of clothing? [ Christopher ]\n< Mark has a watermelon. Sandra has a steak. Jeff has cake. >. Who does not have a kind of food? [ Mark ]\n< Sandra has vodka. John has a taxi. Richard has juice. >. Who does not have a kind of drink? [ John ]\n< Robert has a rifle. Brian has a mango. Michelle has a lime. >. Who does not have a kind of fruit? [ Robert ]\n< David has a gun. Anthony has a cannon. Nancy has a piano. >. Who does not have a kind of weapon? [ Nancy ]\n< Sandra has bread. Carol has a violin. Kimberly has cake. >. Who does not have a kind of food? [ Carol ]\n"}
{"task_id": "task4", "texts": "\n< Donna has blackberries. Susan has a handgun. Daniel has a gun. >. Who does not own a kind of weapon? Donna\n< Michelle has cake. Ronald has pizza. Daniel has a football. >. Who does not own a kind of food? Daniel\n< Brian has a bee. Nancy has a beetle. Elizabeth has a goat. >. Who does not own a kind of insect? [ Elizabeth ]\n< Michelle has a bus. John has bread. Barbara has a hamburger. >. Who does not own a kind of food? [ Michelle ]\n< Sandra has a basketball. Margaret has bread. Michelle has a football. >. Who does not own a kind of sport? [ Margaret ]\n< Anthony has a grenade. Charles has a cocktail. Thomas has tea. >. Who does not own a kind of drink? [ Anthony ]\n< Sarah has a peach. Barbara has bread. Laura has a kiwi. >. Who does not own a kind of fruit? [ Barbara ]\n< Christopher has a baseball. Kevin has tea. Betty has vodka. >. Who does not own a kind of drink? [ Christopher ]\n"}
{"task_id": "task4", "texts": "\n< Maria has a handgun. Sandra has a mosquito. Patricia has a revolver. >. Who does not own a kind of weapon? Sandra\n< Linda has a beetle. Nancy has a bee. Sharon has a lime. >. Who does not own a kind of insect? Sharon\n< Barbara has a plum. Mary has a papaya. George has pizza. >. Who does not own a kind of fruit? [ George ]\n< Michelle has a lime. Nancy has a guitar. Jason has a piano. >. Who does not own a kind of musical instrument? [ Michelle ]\n< Linda has a hamburger. Maria has a peach. Edward has cake. >. Who does not own a kind of food? [ Maria ]\n< George has vodka. Susan has a shotgun. Jeff has a grenade. >. Who does not own a kind of weapon? [ George ]\n< Susan has a football. Thomas has a baseball. Mary has a papaya. >. Who does not own a kind of sport? [ Mary ]\n< Patricia has a donkey. Anthony has a football. Sarah has a baseball. >. Who does not own a kind of sport? [ Patricia ]\n"}
{"task_id": "task4", "texts": "\n< Kimberly has a baseball. Brian has a pistol. Daniel has a basketball. >. Who does not possess a kind of sport? Brian\n< Anthony has a violin. Robert has a shotgun. Kimberly has a piano. >. Who does not possess a kind of musical instrument? Robert\n< Lisa has spaghetti. Jennifer has a dog. Donna has bread. >. Who does not possess a kind of food? [ Jennifer ]\n< Jeff has an orange. Charles has a baseball. Patricia has a basketball. >. Who does not possess a kind of sport? [ Jeff ]\n< Jason has a rifle. Edward has a guitar. William has a piano. >. Who does not possess a kind of musical instrument? [ Jason ]\n< Donald has a beetle. Mary has a bee. Susan has a shirt. >. Who does not possess a kind of insect? [ Susan ]\n< Susan has a papaya. Elizabeth has a lemon. Paul has a grenade. >. Who does not possess a kind of fruit? [ Paul ]\n< Donald has meat. Richard has a horse. Dorothy has cake. >. Who does not possess a kind of food? [ Richard ]\n"}
{"task_id": "task4", "texts": "\n< Jennifer has tea. Sharon has pants. Kenneth has a cocktail. >. Who does not own a kind of drink? Sharon\n< Sarah has juice. Ruth has a deer. Maria has an elephant. >. Who does not own a kind of animal? Sarah\n< Paul has a deer. Daniel has a goat. David has a pear. >. Who does not own a kind of animal? [ David ]\n< Patricia has a guitar. John has a beetle. Jennifer has a violin. >. Who does not own a kind of musical instrument? [ John ]\n< Patricia has blueberries. James has a mouse. Margaret has a monkey. >. Who does not own a kind of animal? [ Patricia ]\n< Mark has a mosquito. Kimberly has T-shirt. Christopher has a bee. >. Who does not own a kind of insect? [ Kimberly ]\n< Ronald has a lime. Charles has tea. Karen has wine. >. Who does not own a kind of drink? [ Ronald ]\n< Thomas has a bus. Ronald has a car. Lisa has a fox. >. Who does not own a kind of vehicle? [ Lisa ]\n"}
{"task_id": "task5", "texts": "\n< The handgun is Dorothy's. The car is Richard's. The motorcycle is Michael's. >. Who does not have a kind of vehicle? Dorothy\n< The beer is Susan's. The whiskey is Daniel's. The revolver is Ronald's. >. Who does not have a kind of drink? Ronald\n< The rifle is George's. The cocktail is James's. The juice is Mary's. >. Who does not have a kind of drink? [ George ]\n< The taxi is Carol's. The jeep is Sharon's. The jeans are Steven's. >. Who does not have a kind of vehicle? [ Steven ]\n< The piano is Sarah's. The rifle is John's. The guitar is Ronald's. >. Who does not have a kind of musical instrument? [ John ]\n< The blackberries are Betty's. The piano is Steven's. The guitar is Joseph's. >. Who does not have a kind of musical instrument? [ Betty ]\n< The whiskey is Barbara's. The guitar is James's. The juice is Karen's. >. Who does not have a kind of drink? [ James ]\n< The strawberries are Brian's. The football is Robert's. The basketball is Michelle's. >. Who does not have a kind of sport? [ Brian ]\n"}
{"task_id": "task5", "texts": "\n< The pistol is Nancy's. The lime is Ruth's. The blackberries are Jennifer's. >. Who does not possess a kind of fruit? Nancy\n< The basketball is Linda's. The deer is Sarah's. The football is Mary's. >. Who does not possess a kind of sport? Sarah\n< The trousers are Sandra's. The bus is Maria's. The motorcycle is Donna's. >. Who does not possess a kind of vehicle? [ Sandra ]\n< The plum is Maria's. The hamburger is David's. The mango is Joseph's. >. Who does not possess a kind of fruit? [ David ]\n< The taxi is Lisa's. The jeep is Kevin's. The revolver is Sharon's. >. Who does not possess a kind of vehicle? [ Sharon ]\n< The papaya is Sandra's. The cherries are Deborah's. The pants are Carol's. >. Who does not possess a kind of fruit? [ Carol ]\n< The costume is Sandra's. The jacket is Mark's. The strawberries are Maria's. >. Who does not possess a kind of clothing? [ Maria ]\n< The lime is Kevin's. The mosquito is Anthony's. The bee is Elizabeth's. >. Who does not possess a kind of insect? [ Kevin ]\n"}
{"task_id": "task5", "texts": "\n< The baseball is Michael's. The underwear is Dorothy's. The basketball is William's. >. Who does not have a kind of sport? Dorothy\n< The taxi is David's. The costume is Paul's. The underwear is Thomas's. >. Who does not have a kind of clothing? David\n< The bee is John's. The papaya is Donna's. The beetle is Michael's. >. Who does not have a kind of insect? [ Donna ]\n< The pistol is Kevin's. The shirt is Joseph's. The sweater is Elizabeth's. >. Who does not have a kind of clothing? [ Kevin ]\n< The bus is Kevin's. The motorcycle is Daniel's. T-shirt is Jason's. >. Who does not have a kind of vehicle? [ Jason ]\n< The bread is Michael's. The peach is Richard's. The spaghetti is Jason's. >. Who does not have a kind of food? [ Richard ]\n< The football is Deborah's. The basketball is Margaret's. The deer is Edward's. >. Who does not have a kind of sport? [ Edward ]\n< The sweater is Daniel's. The trousers are Ronald's. The rifle is Joseph's. >. Who does not have a kind of clothing? [ Joseph ]\n"}
{"task_id": "task5", "texts": "\n< The baseball is Jason's. The meat is Sandra's. The football is Carol's. >. Who does not possess a kind of sport? Sandra\n< The guitar is Susan's. The piano is Paul's. The monkey is Robert's. >. Who does not possess a kind of musical instrument? Robert\n< The pants are Patricia's. The baseball is Edward's. The sweater is Elizabeth's. >. Who does not possess a kind of clothing? [ Edward ]\n< The jeep is Charles's. The elephant is Anthony's. The motorcycle is George's. >. Who does not possess a kind of vehicle? [ Anthony ]\n< The kiwi is Laura's. The uniform is Sandra's. The shoes are John's. >. Who does not possess a kind of clothing? [ Laura ]\n< The blueberries are Sharon's. The piano is Susan's. The guitar is Christopher's. >. Who does not possess a kind of musical instrument? [ Sharon ]\n< The revolver is Thomas's. The grenade is Jennifer's. The pear is Patricia's. >. Who does not possess a kind of weapon? [ Patricia ]\n< The taxi is Joseph's. The revolver is Michelle's. The bus is William's. >. Who does not possess a kind of vehicle? [ Michelle ]\n"}
{"task_id": "task5", "texts": "\n< The gorilla is John's. The strawberries are Mark's. The plum is James's. >. Who does not own a kind of fruit? John\n< The guitar is Barbara's. The juice is Patricia's. The violin is Susan's. >. Who does not own a kind of musical instrument? Patricia\n< The costume is William's. The shoes are Nancy's. The kiwi is Christopher's. >. Who does not own a kind of clothing? [ Christopher ]\n< The taxi is Sarah's. The bus is Maria's. The gun is Margaret's. >. Who does not own a kind of vehicle? [ Margaret ]\n< The grenade is Ruth's. The burger is Margaret's. The spaghetti is Laura's. >. Who does not own a kind of food? [ Ruth ]\n< The spaghetti is Joseph's. The wolf is George's. The hamburger is Anthony's. >. Who does not own a kind of food? [ George ]\n< The piano is Kenneth's. The violin is Linda's. The peach is Mark's. >. Who does not own a kind of musical instrument? [ Mark ]\n< The vodka is George's. The goose is Charles's. The wine is Kenneth's. >. Who does not own a kind of drink? [ Charles ]\n"}
{"task_id": "task5", "texts": "\n< The hamburger is George's. The football is Michelle's. The cake is Maria's. >. Who does not own a kind of food? Michelle\n< The steak is Ronald's. T-shirt is Edward's. The uniform is Barbara's. >. Who does not own a kind of clothing? Ronald\n< The grenade is Margaret's. The shoes are Sandra's. The underwear is Lisa's. >. Who does not own a kind of clothing? [ Margaret ]\n< The car is Brian's. The bus is Anthony's. The meat is Betty's. >. Who does not own a kind of vehicle? [ Betty ]\n< T-shirt is George's. The grapes are Ruth's. The blueberries are Kenneth's. >. Who does not own a kind of fruit? [ George ]\n< The tiger is Ruth's. The squirrel is Anthony's. The spaghetti is Susan's. >. Who does not own a kind of animal? [ Susan ]\n< The basketball is Ruth's. The football is Sarah's. The soda is Linda's. >. Who does not own a kind of sport? [ Linda ]\n< The revolver is Ronald's. The beer is Susan's. The gun is Anthony's. >. Who does not own a kind of weapon? [ Susan ]\n"}
{"task_id": "task5", "texts": "\n< The tea is Sharon's. The handgun is Ruth's. The gun is John's. >. Who does not possess a kind of weapon? Sharon\n< The piano is Sharon's. The sweater is Donald's. The shoes are Lisa's. >. Who does not possess a kind of clothing? Sharon\n< The football is Steven's. The basketball is James's. The uniform is Carol's. >. Who does not possess a kind of sport? [ Carol ]\n< The gun is Linda's. The handgun is Mary's. The tea is Charles's. >. Who does not possess a kind of weapon? [ Charles ]\n< The elephant is Mary's. The duck is Karen's. The jeans are Susan's. >. Who does not possess a kind of animal? [ Susan ]\n< The donkey is Daniel's. The pistol is John's. The squirrel is Joseph's. >. Who does not possess a kind of animal? [ John ]\n< The jeep is Donna's. The apricot is Ronald's. The bus is Laura's. >. Who does not possess a kind of vehicle? [ Ronald ]\n< The rabbit is Carol's. The bread is Deborah's. The spaghetti is Betty's. >. Who does not possess a kind of food? [ Carol ]\n"}
{"task_id": "task5", "texts": "\n< The car is Donald's. The shotgun is Helen's. The taxi is Ronald's. >. Who does not have a kind of vehicle? Helen\n< The piano is Kimberly's. The guitar is Patricia's. The coffee is Thomas's. >. Who does not have a kind of musical instrument? Thomas\n< The jacket is Donna's. The cow is Christopher's. The pants are William's. >. Who does not have a kind of clothing? [ Christopher ]\n< The watermelon is Mark's. The steak is Sandra's. The cake is Jeff's. >. Who does not have a kind of food? [ Mark ]\n< The vodka is Sandra's. The taxi is John's. The juice is Richard's. >. Who does not have a kind of drink? [ John ]\n< The rifle is Robert's. The mango is Brian's. The lime is Michelle's. >. Who does not have a kind of fruit? [ Robert ]\n< The gun is David's. The cannon is Anthony's. The piano is Nancy's. >. Who does not have a kind of weapon? [ Nancy ]\n< The bread is Sandra's. The violin is Carol's. The cake is Kimberly's. >. Who does not have a kind of food? [ Carol ]\n"}
{"task_id": "task5", "texts": "\n< The blackberries are Donna's. The handgun is Susan's. The gun is Daniel's. >. Who does not own a kind of weapon? Donna\n< The cake is Michelle's. The pizza is Ronald's. The football is Daniel's. >. Who does not own a kind of food? Daniel\n< The bee is Brian's. The beetle is Nancy's. The goat is Elizabeth's. >. Who does not own a kind of insect? [ Elizabeth ]\n< The bus is Michelle's. The bread is John's. The hamburger is Barbara's. >. Who does not own a kind of food? [ Michelle ]\n< The basketball is Sandra's. The bread is Margaret's. The football is Michelle's. >. Who does not own a kind of sport? [ Margaret ]\n< The grenade is Anthony's. The cocktail is Charles's. The tea is Thomas's. >. Who does not own a kind of drink? [ Anthony ]\n< The peach is Sarah's. The bread is Barbara's. The kiwi is Laura's. >. Who does not own a kind of fruit? [ Barbara ]\n< The baseball is Christopher's. The tea is Kevin's. The vodka is Betty's. >. Who does not own a kind of drink? [ Christopher ]\n"}
{"task_id": "task5", "texts": "\n< The handgun is Maria's. The mosquito is Sandra's. The revolver is Patricia's. >. Who does not own a kind of weapon? Sandra\n< The beetle is Linda's. The bee is Nancy's. The lime is Sharon's. >. Who does not own a kind of insect? Sharon\n< The plum is Barbara's. The papaya is Mary's. The pizza is George's. >. Who does not own a kind of fruit? [ George ]\n< The lime is Michelle's. The guitar is Nancy's. The piano is Jason's. >. Who does not own a kind of musical instrument? [ Michelle ]\n< The hamburger is Linda's. The peach is Maria's. The cake is Edward's. >. Who does not own a kind of food? [ Maria ]\n< The vodka is George's. The shotgun is Susan's. The grenade is Jeff's. >. Who does not own a kind of weapon? [ George ]\n< The football is Susan's. The baseball is Thomas's. The papaya is Mary's. >. Who does not own a kind of sport? [ Mary ]\n< The donkey is Patricia's. The football is Anthony's. The baseball is Sarah's. >. Who does not own a kind of sport? [ Patricia ]\n"}
{"task_id": "task5", "texts": "\n< The baseball is Kimberly's. The pistol is Brian's. The basketball is Daniel's. >. Who does not possess a kind of sport? Brian\n< The violin is Anthony's. The shotgun is Robert's. The piano is Kimberly's. >. Who does not possess a kind of musical instrument? Robert\n< The spaghetti is Lisa's. The dog is Jennifer's. The bread is Donna's. >. Who does not possess a kind of food? [ Jennifer ]\n< The orange is Jeff's. The baseball is Charles's. The basketball is Patricia's. >. Who does not possess a kind of sport? [ Jeff ]\n< The rifle is Jason's. The guitar is Edward's. The piano is William's. >. Who does not possess a kind of musical instrument? [ Jason ]\n< The beetle is Donald's. The bee is Mary's. The shirt is Susan's. >. Who does not possess a kind of insect? [ Susan ]\n< The papaya is Susan's. The lemon is Elizabeth's. The grenade is Paul's. >. Who does not possess a kind of fruit? [ Paul ]\n< The meat is Donald's. The horse is Richard's. The cake is Dorothy's. >. Who does not possess a kind of food? [ Richard ]\n"}
{"task_id": "task5", "texts": "\n< The tea is Jennifer's. The pants are Sharon's. The cocktail is Kenneth's. >. Who does not own a kind of drink? Sharon\n< The juice is Sarah's. The deer is Ruth's. The elephant is Maria's. >. Who does not own a kind of animal? Sarah\n< The deer is Paul's. The goat is Daniel's. The pear is David's. >. Who does not own a kind of animal? [ David ]\n< The guitar is Patricia's. The beetle is John's. The violin is Jennifer's. >. Who does not own a kind of musical instrument? [ John ]\n< The blueberries are Patricia's. The mouse is James's. The monkey is Margaret's. >. Who does not own a kind of animal? [ Patricia ]\n< The mosquito is Mark's. T-shirt is Kimberly's. The bee is Christopher's. >. Who does not own a kind of insect? [ Kimberly ]\n< The lime is Ronald's. The tea is Charles's. The wine is Karen's. >. Who does not own a kind of drink? [ Ronald ]\n< The bus is Thomas's. The car is Ronald's. The fox is Lisa's. >. Who does not own a kind of vehicle? [ Lisa ]\n"}
{"task_id": "task6", "texts": "\n< Karen has sheep. Deborah has meat. Jeff has a basketball. >. Who has a kind of sport? Jeff\n< Kevin has a grenade. Nancy has jeans. Sandra has meat. >. Who has a kind of weapon? Kevin\n< Betty has a baseball. Karen has juice. John has a deer. >. Who has a kind of drink? [ Karen ]\n< Mary has a pistol. William has a goat. Deborah has a car. >. Who has a kind of animal? [ William ]\n< Betty has a car. Christopher has a horse. Margaret has a shirt. >. Who has a kind of clothing? [ Margaret ]\n< Michelle has a mango. Elizabeth has a deer. Susan has a piano. >. Who has a kind of musical instrument? [ Susan ]\n< Mary has a rabbit. Susan has whiskey. Dorothy has underwear. >. Who has a kind of drink? [ Susan ]\n< Betty has a mango. Nancy has a donkey. Ronald has a wolf. >. Who has a kind of fruit? [ Betty ]\n"}
{"task_id": "task6", "texts": "\n< Sandra has a wolf. Deborah has a plum. Jason has a guitar. >. Who possesses a kind of fruit? Deborah\n< Robert has a monkey. Michael has an orange. Betty has a guitar. >. Who possesses a kind of musical instrument? Betty\n< Dorothy has a sweater. Kevin has a taxi. Jason has a shotgun. >. Who possesses a kind of vehicle? [ Kevin ]\n< Mark has a rifle. Ronald has pizza. George has an elephant. >. Who possesses a kind of weapon? [ Mark ]\n< Nancy has T-shirt. Sandra has a handgun. John has a kiwi. >. Who possesses a kind of clothing? [ Nancy ]\n< Sharon has a violin. Susan has a lion. Christopher has a pig. >. Who possesses a kind of musical instrument? [ Sharon ]\n< Thomas has cake. Jennifer has a jersey. Patricia has a shotgun. >. Who possesses a kind of weapon? [ Patricia ]\n< Joseph has a piano. Michelle has a taxi. William has a watermelon. >. Who possesses a kind of vehicle? [ Michelle ]\n"}
{"task_id": "task6", "texts": "\n< Steven has a basketball. Susan has trousers. Kenneth has a revolver. >. Who owns a kind of sport? Steven\n< John has a hamburger. Kevin has a mouse. Linda has an apple. >. Who owns a kind of fruit? Linda\n< Michael has a pineapple. Michelle has a cannon. Patricia has a uniform. >. Who owns a kind of clothing? [ Patricia ]\n< Edward has a lemon. Ruth has a revolver. Carol has a motorcycle. >. Who owns a kind of fruit? [ Edward ]\n< Michael has a taxi. William has a beetle. Elizabeth has a motorcycle. >. Who owns a kind of insect? [ William ]\n< Donna has juice. Maria has a bee. Kenneth has a shotgun. >. Who owns a kind of insect? [ Maria ]\n< Ronald has a basketball. Donald has a gorilla. Mark has a goose. >. Who owns a kind of sport? [ Ronald ]\n< Kevin has a pistol. Sharon has a taxi. Michael has a bee. >. Who owns a kind of insect? [ Michael ]\n"}
{"task_id": "task6", "texts": "\n< Ronald has a taxi. John has T-shirt. Elizabeth has a wolf. >. Who has a kind of animal? Elizabeth\n< Nancy has a revolver. Elizabeth has a costume. Richard has juice. >. Who has a kind of weapon? Nancy\n< Lisa has a mosquito. Dorothy has a steak. William has beer. >. Who has a kind of food? [ Dorothy ]\n< Anthony has a pig. Richard has T-shirt. Susan has a cat. >. Who has a kind of clothing? [ Richard ]\n< Carol has a bus. Donald has a violin. Richard has pizza. >. Who has a kind of vehicle? [ Carol ]\n< Sharon has a burger. Susan has wine. Kevin has trousers. >. Who has a kind of food? [ Sharon ]\n< Robert has cake. Karen has a shotgun. James has a donkey. >. Who has a kind of animal? [ James ]\n< Jeff has soda. Jason has a bee. Thomas has a pineapple. >. Who has a kind of fruit? [ Thomas ]\n"}
{"task_id": "task6", "texts": "\n< Michelle has a bee. Sarah has a goose. Karen has spaghetti. >. Who owns a kind of animal? Sarah\n< Thomas has a shotgun. Dorothy has a grenade. Sandra has a bee. >. Who owns a kind of insect? Sandra\n< Brian has a sweater. Mary has a beetle. Lisa has a mosquito. >. Who owns a kind of clothing? [ Brian ]\n< Joseph has blackberries. John has a guitar. Donald has a monkey. >. Who owns a kind of fruit? [ Joseph ]\n< Ruth has shoes. Betty has an apricot. Kenneth has coffee. >. Who owns a kind of drink? [ Kenneth ]\n< Anthony has a peach. Kevin has a shotgun. Ronald has beer. >. Who owns a kind of weapon? [ Kevin ]\n< Barbara has trousers. Elizabeth has a deer. Robert has a bee. >. Who owns a kind of insect? [ Robert ]\n< Kevin has a bee. William has a mango. Maria has a steak. >. Who owns a kind of insect? [ Kevin ]\n"}
{"task_id": "task6", "texts": "\n< Christopher has coffee. George has a beetle. Thomas has a cow. >. Who possesses a kind of drink? Christopher\n< Deborah has a gun. Thomas has grapes. Margaret has a violin. >. Who possesses a kind of weapon? Deborah\n< Kimberly has a taxi. Brian has a cocktail. Donna has beer. >. Who possesses a kind of vehicle? [ Kimberly ]\n< Richard has a durian. Ruth has a piano. Thomas has beer. >. Who possesses a kind of fruit? [ Richard ]\n< Sarah has juice. Mark has meat. Margaret has a mosquito. >. Who possesses a kind of drink? [ Sarah ]\n< Carol has a bee. Christopher has a piano. Kenneth has a mouse. >. Who possesses a kind of insect? [ Carol ]\n< Brian has a beetle. Michelle has T-shirt. Deborah has a cow. >. Who possesses a kind of insect? [ Brian ]\n< David has a bus. Laura has a papaya. Nancy has a baseball. >. Who possesses a kind of vehicle? [ David ]\n"}
{"task_id": "task6", "texts": "\n< Carol has a piano. Dorothy has a beetle. Patricia has an elephant. >. Who has a kind of insect? Dorothy\n< Susan has a beetle. Christopher has an apple. Ruth has a violin. >. Who has a kind of musical instrument? Ruth\n< Sharon has a squirrel. Nancy has a beetle. Helen has bread. >. Who has a kind of insect? [ Nancy ]\n< Charles has a basketball. Linda has a costume. Donald has a rifle. >. Who has a kind of sport? [ Charles ]\n< Jason has meat. Steven has trousers. Dorothy has a papaya. >. Who has a kind of food? [ Jason ]\n< Anthony has a papaya. Mary has a baseball. Edward has a watermelon. >. Who has a kind of sport? [ Mary ]\n< Susan has a football. Elizabeth has blueberries. Paul has a beetle. >. Who has a kind of insect? [ Paul ]\n< Donald has T-shirt. Richard has a hamburger. Dorothy has a plum. >. Who has a kind of food? [ Richard ]\n"}
{"task_id": "task6", "texts": "\n< Betty has a watermelon. John has cherries. Margaret has a costume. >. Who has a kind of clothing? Margaret\n< Christopher has tea. Karen has a taxi. William has a handgun. >. Who has a kind of drink? Christopher\n< Donald has a revolver. Paul has a baseball. Robert has a fox. >. Who has a kind of sport? [ Paul ]\n< Mary has whiskey. John has a gun. Lisa has a cat. >. Who has a kind of animal? [ Lisa ]\n< Sandra has a mosquito. Thomas has a duck. Jason has strawberries. >. Who has a kind of insect? [ Sandra ]\n< Elizabeth has a wolf. Mary has a hamburger. Daniel has a beetle. >. Who has a kind of food? [ Mary ]\n< Deborah has a car. Jennifer has bread. Linda has a squirrel. >. Who has a kind of food? [ Jennifer ]\n< George has a basketball. Linda has vodka. Karen has a beetle. >. Who has a kind of sport? [ George ]\n"}
{"task_id": "task6", "texts": "\n< Patricia has a bee. Jason has a jeep. George has a shotgun. >. Who possesses a kind of vehicle? Jason\n< Sandra has a jeep. Linda has an orange. John has blueberries. >. Who possesses a kind of vehicle? Sandra\n< Thomas has a donkey. Jason has a tiger. Patricia has a guitar. >. Who possesses a kind of musical instrument? [ Patricia ]\n< Linda has a jacket. Jeff has an orange. Edward has a piano. >. Who possesses a kind of clothing? [ Linda ]\n< Steven has a revolver. Brian has a handgun. Sharon has a bee. >. Who possesses a kind of insect? [ Sharon ]\n< Anthony has tea. Michael has trousers. Donald has strawberries. >. Who possesses a kind of drink? [ Anthony ]\n< Robert has a violin. Dorothy has a cannon. Kenneth has a jeep. >. Who possesses a kind of weapon? [ Dorothy ]\n< Margaret has a tiger. Kevin has a uniform. Jennifer has a football. >. Who possesses a kind of sport? [ Jennifer ]\n"}
{"task_id": "task6", "texts": "\n< Elizabeth has a football. Brian has a rifle. Laura has underwear. >. Who possesses a kind of clothing? Laura\n< James has a sweater. Lisa has tea. Richard has a guitar. >. Who possesses a kind of drink? Lisa\n< Daniel has a hamburger. Jason has a handgun. David has trousers. >. Who possesses a kind of clothing? [ David ]\n< Michelle has a gun. Richard has beer. Donald has a beetle. >. Who possesses a kind of insect? [ Donald ]\n< Helen has a lion. Donna has a pear. Charles has a grenade. >. Who possesses a kind of animal? [ Helen ]\n< Mary has a jacket. Sharon has a burger. Barbara has a pear. >. Who possesses a kind of clothing? [ Mary ]\n< Charles has an orange. Laura has a peach. Susan has a car. >. Who possesses a kind of vehicle? [ Susan ]\n< Daniel has a basketball. Sarah has a lemon. Karen has a jersey. >. Who possesses a kind of fruit? [ Sarah ]\n"}
{"task_id": "task6", "texts": "\n< Brian has a mosquito. Donna has a mango. Mary has an apricot. >. Who possesses a kind of insect? Brian\n< Kenneth has a pistol. Maria has a jeep. Charles has a football. >. Who possesses a kind of vehicle? Maria\n< Linda has a mosquito. Jennifer has a pistol. Kimberly has a fox. >. Who possesses a kind of insect? [ Linda ]\n< Edward has jeans. Kevin has a taxi. Mark has a cat. >. Who possesses a kind of clothing? [ Edward ]\n< Laura has an elephant. Deborah has a baseball. Sharon has a motorcycle. >. Who possesses a kind of sport? [ Deborah ]\n< Donald has a baseball. John has blackberries. Sandra has a car. >. Who possesses a kind of vehicle? [ Sandra ]\n< Steven has wine. Sarah has a guitar. George has pants. >. Who possesses a kind of musical instrument? [ Sarah ]\n< George has a pineapple. Edward has jeans. Kenneth has a bee. >. Who possesses a kind of insect? [ Kenneth ]\n"}
{"task_id": "task6", "texts": "\n< Richard has soda. Kenneth has a cannon. Deborah has a basketball. >. Who possesses a kind of drink? Richard\n< Elizabeth has a papaya. Linda has wine. David has a guitar. >. Who possesses a kind of drink? Linda\n< Jeff has a bus. Nancy has a horse. Michael has a basketball. >. Who possesses a kind of vehicle? [ Jeff ]\n< David has a pistol. Sharon has soda. Ronald has a sweater. >. Who possesses a kind of drink? [ Sharon ]\n< Margaret has a uniform. John has a bus. Lisa has a goose. >. Who possesses a kind of animal? [ Lisa ]\n< Jason has vodka. Elizabeth has a squirrel. Karen has a pineapple. >. Who possesses a kind of fruit? [ Karen ]\n< James has pants. Daniel has an elephant. Betty has a durian. >. Who possesses a kind of fruit? [ Betty ]\n< Kenneth has a bee. Daniel has strawberries. Helen has a car. >. Who possesses a kind of insect? [ Kenneth ]\n"}
{"task_id": "task7", "texts": "\n< The sheep are Karen's. The meat is Deborah's. The basketball is Jeff's. >. Who has a kind of sport? Jeff\n< The grenade is Kevin's. The jeans are Nancy's. The meat is Sandra's. >. Who has a kind of weapon? Kevin\n< The baseball is Betty's. The juice is Karen's. The deer is John's. >. Who has a kind of drink? [ Karen ]\n< The pistol is Mary's. The goat is William's. The car is Deborah's. >. Who has a kind of animal? [ William ]\n< The car is Betty's. The horse is Christopher's. The shirt is Margaret's. >. Who has a kind of clothing? [ Margaret ]\n< The mango is Michelle's. The deer is Elizabeth's. The piano is Susan's. >. Who has a kind of musical instrument? [ Susan ]\n< The rabbit is Mary's. The whiskey is Susan's. The underwear is Dorothy's. >. Who has a kind of drink? [ Susan ]\n< The mango is Betty's. The donkey is Nancy's. The wolf is Ronald's. >. Who has a kind of fruit? [ Betty ]\n"}
{"task_id": "task7", "texts": "\n< The wolf is Sandra's. The plum is Deborah's. The guitar is Jason's. >. Who possesses a kind of fruit? Deborah\n< The monkey is Robert's. The orange is Michael's. The guitar is Betty's. >. Who possesses a kind of musical instrument? Betty\n< The sweater is Dorothy's. The taxi is Kevin's. The shotgun is Jason's. >. Who possesses a kind of vehicle? [ Kevin ]\n< The rifle is Mark's. The pizza is Ronald's. The elephant is George's. >. Who possesses a kind of weapon? [ Mark ]\n< T-shirt is Nancy's. The handgun is Sandra's. The kiwi is John's. >. Who possesses a kind of clothing? [ Nancy ]\n< The violin is Sharon's. The lion is Susan's. The pig is Christopher's. >. Who possesses a kind of musical instrument? [ Sharon ]\n< The cake is Thomas's. The jersey is Jennifer's. The shotgun is Patricia's. >. Who possesses a kind of weapon? [ Patricia ]\n< The piano is Joseph's. The taxi is Michelle's. The watermelon is William's. >. Who possesses a kind of vehicle? [ Michelle ]\n"}
{"task_id": "task7", "texts": "\n< The basketball is Steven's. The trousers are Susan's. The revolver is Kenneth's. >. Who owns a kind of sport? Steven\n< The hamburger is John's. The mouse is Kevin's. The apple is Linda's. >. Who owns a kind of fruit? Linda\n< The pineapple is Michael's. The cannon is Michelle's. The uniform is Patricia's. >. Who owns a kind of clothing? [ Patricia ]\n< The lemon is Edward's. The revolver is Ruth's. The motorcycle is Carol's. >. Who owns a kind of fruit? [ Edward ]\n< The taxi is Michael's. The beetle is William's. The motorcycle is Elizabeth's. >. Who owns a kind of insect? [ William ]\n< The juice is Donna's. The bee is Maria's. The shotgun is Kenneth's. >. Who owns a kind of insect? [ Maria ]\n< The basketball is Ronald's. The gorilla is Donald's. The goose is Mark's. >. Who owns a kind of sport? [ Ronald ]\n< The pistol is Kevin's. The taxi is Sharon's. The bee is Michael's. >. Who owns a kind of insect? [ Michael ]\n"}
{"task_id": "task7", "texts": "\n< The taxi is Ronald's. T-shirt is John's. The wolf is Elizabeth's. >. Who has a kind of animal? Elizabeth\n< The revolver is Nancy's. The costume is Elizabeth's. The juice is Richard's. >. Who has a kind of weapon? Nancy\n< The mosquito is Lisa's. The steak is Dorothy's. The beer is William's. >. Who has a kind of food? [ Dorothy ]\n< The pig is Anthony's. T-shirt is Richard's. The cat is Susan's. >. Who has a kind of clothing? [ Richard ]\n< The bus is Carol's. The violin is Donald's. The pizza is Richard's. >. Who has a kind of vehicle? [ Carol ]\n< The burger is Sharon's. The wine is Susan's. The trousers are Kevin's. >. Who has a kind of food? [ Sharon ]\n< The cake is Robert's. The shotgun is Karen's. The donkey is James's. >. Who has a kind of animal? [ James ]\n< The soda is Jeff's. The bee is Jason's. The pineapple is Thomas's. >. Who has a kind of fruit? [ Thomas ]\n"}
{"task_id": "task7", "texts": "\n< The bee is Michelle's. The goose is Sarah's. The spaghetti is Karen's. >. Who owns a kind of animal? Sarah\n< The shotgun is Thomas's. The grenade is Dorothy's. The bee is Sandra's. >. Who owns a kind of insect? Sandra\n< The sweater is Brian's. The beetle is Mary's. The mosquito is Lisa's. >. Who owns a kind of clothing? [ Brian ]\n< The blackberries are Joseph's. The guitar is John's. The monkey is Donald's. >. Who owns a kind of fruit? [ Joseph ]\n< The shoes are Ruth's. The apricot is Betty's. The coffee is Kenneth's. >. Who owns a kind of drink? [ Kenneth ]\n< The peach is Anthony's. The shotgun is Kevin's. The beer is Ronald's. >. Who owns a kind of weapon? [ Kevin ]\n< The trousers are Barbara's. The deer is Elizabeth's. The bee is Robert's. >. Who owns a kind of insect? [ Robert ]\n< The bee is Kevin's. The mango is William's. The steak is Maria's. >. Who owns a kind of insect? [ Kevin ]\n"}
{"task_id": "task7", "texts": "\n< The coffee is Christopher's. The beetle is George's. The cow is Thomas's. >. Who possesses a kind of drink? Christopher\n< The gun is Deborah's. The grapes are Thomas's. The violin is Margaret's. >. Who possesses a kind of weapon? Deborah\n< The taxi is Kimberly's. The cocktail is Brian's. The beer is Donna's. >. Who possesses a kind of vehicle? [ Kimberly ]\n< The durian is Richard's. The piano is Ruth's. The beer is Thomas's. >. Who possesses a kind of fruit? [ Richard ]\n< The juice is Sarah's. The meat is Mark's. The mosquito is Margaret's. >. Who possesses a kind of drink? [ Sarah ]\n< The bee is Carol's. The piano is Christopher's. The mouse is Kenneth's. >. Who possesses a kind of insect? [ Carol ]\n< The beetle is Brian's. T-shirt is Michelle's. The cow is Deborah's. >. Who possesses a kind of insect? [ Brian ]\n< The bus is David's. The papaya is Laura's. The baseball is Nancy's. >. Who possesses a kind of vehicle? [ David ]\n"}
{"task_id": "task7", "texts": "\n< The piano is Carol's. The beetle is Dorothy's. The elephant is Patricia's. >. Who has a kind of insect? Dorothy\n< The beetle is Susan's. The apple is Christopher's. The violin is Ruth's. >. Who has a kind of musical instrument? Ruth\n< The squirrel is Sharon's. The beetle is Nancy's. The bread is Helen's. >. Who has a kind of insect? [ Nancy ]\n< The basketball is Charles's. The costume is Linda's. The rifle is Donald's. >. Who has a kind of sport? [ Charles ]\n< The meat is Jason's. The trousers are Steven's. The papaya is Dorothy's. >. Who has a kind of food? [ Jason ]\n< The papaya is Anthony's. The baseball is Mary's. The watermelon is Edward's. >. Who has a kind of sport? [ Mary ]\n< The football is Susan's. The blueberries are Elizabeth's. The beetle is Paul's. >. Who has a kind of insect? [ Paul ]\n< T-shirt is Donald's. The hamburger is Richard's. The plum is Dorothy's. >. Who has a kind of food? [ Richard ]\n"}
{"task_id": "task7", "texts": "\n< The watermelon is Betty's. The cherries are John's. The costume is Margaret's. >. Who has a kind of clothing? Margaret\n< The tea is Christopher's. The taxi is Karen's. The handgun is William's. >. Who has a kind of drink? Christopher\n< The revolver is Donald's. The baseball is Paul's. The fox is Robert's. >. Who has a kind of sport? [ Paul ]\n< The whiskey is Mary's. The gun is John's. The cat is Lisa's. >. Who has a kind of animal? [ Lisa ]\n< The mosquito is Sandra's. The duck is Thomas's. The strawberries are Jason's. >. Who has a kind of insect? [ Sandra ]\n< The wolf is Elizabeth's. The hamburger is Mary's. The beetle is Daniel's. >. Who has a kind of food? [ Mary ]\n< The car is Deborah's. The bread is Jennifer's. The squirrel is Linda's. >. Who has a kind of food? [ Jennifer ]\n< The basketball is George's. The vodka is Linda's. The beetle is Karen's. >. Who has a kind of sport? [ George ]\n"}
{"task_id": "task7", "texts": "\n< The bee is Patricia's. The jeep is Jason's. The shotgun is George's. >. Who possesses a kind of vehicle? Jason\n< The jeep is Sandra's. The orange is Linda's. The blueberries are John's. >. Who possesses a kind of vehicle? Sandra\n< The donkey is Thomas's. The tiger is Jason's. The guitar is Patricia's. >. Who possesses a kind of musical instrument? [ Patricia ]\n< The jacket is Linda's. The orange is Jeff's. The piano is Edward's. >. Who possesses a kind of clothing? [ Linda ]\n< The revolver is Steven's. The handgun is Brian's. The bee is Sharon's. >. Who possesses a kind of insect? [ Sharon ]\n< The tea is Anthony's. The trousers are Michael's. The strawberries are Donald's. >. Who possesses a kind of drink? [ Anthony ]\n< The violin is Robert's. The cannon is Dorothy's. The jeep is Kenneth's. >. Who possesses a kind of weapon? [ Dorothy ]\n< The tiger is Margaret's. The uniform is Kevin's. The football is Jennifer's. >. Who possesses a kind of sport? [ Jennifer ]\n"}
{"task_id": "task7", "texts": "\n< The football is Elizabeth's. The rifle is Brian's. The underwear is Laura's. >. Who possesses a kind of clothing? Laura\n< The sweater is James's. The tea is Lisa's. The guitar is Richard's. >. Who possesses a kind of drink? Lisa\n< The hamburger is Daniel's. The handgun is Jason's. The trousers are David's. >. Who possesses a kind of clothing? [ David ]\n< The gun is Michelle's. The beer is Richard's. The beetle is Donald's. >. Who possesses a kind of insect? [ Donald ]\n< The lion is Helen's. The pear is Donna's. The grenade is Charles's. >. Who possesses a kind of animal? [ Helen ]\n< The jacket is Mary's. The burger is Sharon's. The pear is Barbara's. >. Who possesses a kind of clothing? [ Mary ]\n< The orange is Charles's. The peach is Laura's. The car is Susan's. >. Who possesses a kind of vehicle? [ Susan ]\n< The basketball is Daniel's. The lemon is Sarah's. The jersey is Karen's. >. Who possesses a kind of fruit? [ Sarah ]\n"}
{"task_id": "task7", "texts": "\n< The mosquito is Brian's. The mango is Donna's. The apricot is Mary's. >. Who possesses a kind of insect? Brian\n< The pistol is Kenneth's. The jeep is Maria's. The football is Charles's. >. Who possesses a kind of vehicle? Maria\n< The mosquito is Linda's. The pistol is Jennifer's. The fox is Kimberly's. >. Who possesses a kind of insect? [ Linda ]\n< The jeans are Edward's. The taxi is Kevin's. The cat is Mark's. >. Who possesses a kind of clothing? [ Edward ]\n< The elephant is Laura's. The baseball is Deborah's. The motorcycle is Sharon's. >. Who possesses a kind of sport? [ Deborah ]\n< The baseball is Donald's. The blackberries are John's. The car is Sandra's. >. Who possesses a kind of vehicle? [ Sandra ]\n< The wine is Steven's. The guitar is Sarah's. The pants are George's. >. Who possesses a kind of musical instrument? [ Sarah ]\n< The pineapple is George's. The jeans are Edward's. The bee is Kenneth's. >. Who possesses a kind of insect? [ Kenneth ]\n"}
{"task_id": "task7", "texts": "\n< The soda is Richard's. The cannon is Kenneth's. The basketball is Deborah's. >. Who possesses a kind of drink? Richard\n< The papaya is Elizabeth's. The wine is Linda's. The guitar is David's. >. Who possesses a kind of drink? Linda\n< The bus is Jeff's. The horse is Nancy's. The basketball is Michael's. >. Who possesses a kind of vehicle? [ Jeff ]\n< The pistol is David's. The soda is Sharon's. The sweater is Ronald's. >. Who possesses a kind of drink? [ Sharon ]\n< The uniform is Margaret's. The bus is John's. The goose is Lisa's. >. Who possesses a kind of animal? [ Lisa ]\n< The vodka is Jason's. The squirrel is Elizabeth's. The pineapple is Karen's. >. Who possesses a kind of fruit? [ Karen ]\n< The pants are James's. The elephant is Daniel's. The durian is Betty's. >. Who possesses a kind of fruit? [ Betty ]\n< The bee is Kenneth's. The strawberries are Daniel's. The car is Helen's. >. Who possesses a kind of insect? [ Kenneth ]\n"}
{"task_id": "task8", "texts": "\n< Ronald has a grenade. Ronald has a costume. Maria has a lime. >. Ronald does not own lime\n< Kenneth has T-shirt. Kenneth has pizza. Nancy has a bee. >. Kenneth does not own bee\n< Nancy has a mouse. Michael has a horse. Nancy has a sweater. >. Nancy does not own [ horse ]\n< Karen has a beetle. Jeff has a bus. Jeff has a goose. >. Jeff does not own [ beetle ]\n< Laura has a gun. Daniel has strawberries. Daniel has a cannon. >. Daniel does not own [ gun ]\n< Barbara has a jeep. Joseph has a squirrel. Barbara has an apple. >. Barbara does not own [ squirrel ]\n< Daniel has a motorcycle. Daniel has a pig. Susan has sheep. >. Daniel does not own [ sheep ]\n< Kenneth has a bee. Dorothy has an apple. Kenneth has pants. >. Kenneth does not own [ apple ]\n"}
{"task_id": "task8", "texts": "\n< Sandra has a dog. Sandra has jeans. George has a goat. >. Sandra does not possess goat\n< William has a goat. Elizabeth has beer. Elizabeth has a cat. >. Elizabeth does not possess goat\n< Steven has blackberries. Steven has a shotgun. Betty has a motorcycle. >. Steven does not possess [ motorcycle ]\n< Steven has bread. Betty has a basketball. Betty has a horse. >. Betty does not possess [ bread ]\n< Richard has pizza. Nancy has a bee. Richard has a fox. >. Richard does not possess [ bee ]\n< Sarah has a horse. Ronald has blackberries. Ronald has a monkey. >. Ronald does not possess [ horse ]\n< Karen has juice. Steven has strawberries. Steven has a hamburger. >. Steven does not possess [ juice ]\n< Anthony has tea. Maria has sheep. Anthony has a goat. >. Anthony does not possess [ sheep ]\n"}
{"task_id": "task8", "texts": "\n< Dorothy has a wolf. Ronald has a jacket. Ronald has T-shirt. >. Ronald does not have wolf\n< Maria has a lime. Joseph has a burger. Joseph has strawberries. >. Joseph does not have lime\n< Sharon has a bee. Sharon has a tiger. Christopher has trousers. >. Sharon does not have [ trousers ]\n< Nancy has a mouse. Ronald has a jeep. Ronald has a guitar. >. Ronald does not have [ mouse ]\n< Betty has a bus. George has an elephant. Betty has a mouse. >. Betty does not have [ elephant ]\n< Elizabeth has a pistol. Elizabeth has a grenade. Robert has a sweater. >. Elizabeth does not have [ sweater ]\n< Mark has an apple. Mark has spaghetti. Jennifer has a deer. >. Mark does not have [ deer ]\n< Kimberly has a deer. Ronald has soda. Kimberly has a steak. >. Kimberly does not have [ soda ]\n"}
{"task_id": "task8", "texts": "\n< William has shoes. William has a goat. Elizabeth has a pistol. >. William does not own pistol\n< Lisa has an apple. Lisa has a steak. George has a violin. >. Lisa does not own violin\n< George has blackberries. George has a bee. Laura has cake. >. George does not own [ cake ]\n< Kimberly has a basketball. John has a shirt. John has a revolver. >. John does not own [ basketball ]\n< Kenneth has a handgun. Michelle has a jeep. Michelle has a basketball. >. Michelle does not own [ handgun ]\n< Karen has a kiwi. Anthony has a baseball. Karen has a gun. >. Karen does not own [ baseball ]\n< Michael has a pineapple. Karen has a motorcycle. Michael has a violin. >. Michael does not own [ motorcycle ]\n< Susan has a watermelon. Thomas has a jacket. Susan has a lemon. >. Susan does not own [ jacket ]\n"}
{"task_id": "task8", "texts": "\n< Laura has grapes. William has a hamburger. Laura has a wolf. >. Laura does not possess hamburger\n< Margaret has blueberries. William has a horse. Margaret has a fox. >. Margaret does not possess horse\n< Karen has a watermelon. Karen has a squirrel. Richard has a gorilla. >. Karen does not possess [ gorilla ]\n< Betty has tea. James has whiskey. Betty has jeans. >. Betty does not possess [ whiskey ]\n< Kenneth has a gun. Sharon has an elephant. Kenneth has a rifle. >. Kenneth does not possess [ elephant ]\n< David has a mosquito. Sarah has underwear. Sarah has a gun. >. Sarah does not possess [ mosquito ]\n< Lisa has a tiger. Lisa has a cat. Thomas has a guitar. >. Lisa does not possess [ guitar ]\n< Kimberly has a jeep. Mark has juice. Mark has a jacket. >. Mark does not possess [ jeep ]\n"}
{"task_id": "task8", "texts": "\n< Jason has a cat. Sharon has spaghetti. Sharon has a uniform. >. Sharon does not own cat\n< Kenneth has a cannon. Jennifer has wine. Jennifer has cake. >. Jennifer does not own cannon\n< Donna has sheep. Thomas has a plum. Donna has a jacket. >. Donna does not own [ plum ]\n< Deborah has a wolf. Deborah has a duck. Ronald has a pineapple. >. Deborah does not own [ pineapple ]\n< Jeff has a hamburger. Jeff has a tiger. Betty has a grenade. >. Jeff does not own [ grenade ]\n< Ronald has a jersey. Ronald has a guitar. Linda has a motorcycle. >. Ronald does not own [ motorcycle ]\n< Linda has a gun. David has cake. David has a pig. >. David does not own [ gun ]\n< Donna has coffee. Christopher has beer. Donna has an apple. >. Donna does not own [ beer ]\n"}
{"task_id": "task8", "texts": "\n< Maria has a squirrel. Joseph has a pear. Joseph has a sweater. >. Joseph does not own squirrel\n< Ruth has a lime. Ruth has a sweater. Edward has trousers. >. Ruth does not own trousers\n< William has T-shirt. Sandra has a grenade. Sandra has whiskey. >. Sandra does not own [ T-shirt ]\n< Christopher has trousers. Jennifer has a tiger. Christopher has a jacket. >. Christopher does not own [ tiger ]\n< Sandra has a squirrel. Sandra has a cannon. Edward has tea. >. Sandra does not own [ tea ]\n< Elizabeth has blueberries. Christopher has a banana. Elizabeth has a guitar. >. Elizabeth does not own [ banana ]\n< Brian has a jacket. Brian has a basketball. Susan has bread. >. Brian does not own [ bread ]\n< Richard has a uniform. Richard has pants. Betty has a watermelon. >. Richard does not own [ watermelon ]\n"}
{"task_id": "task8", "texts": "\n< Mary has a lion. Robert has blackberries. Mary has a pear. >. Mary does not own blackberries\n< Joseph has trousers. Joseph has a watermelon. Deborah has spaghetti. >. Joseph does not own spaghetti\n< Sarah has a steak. Ronald has a baseball. Ronald has a lime. >. Ronald does not own [ steak ]\n< Jason has vodka. Jason has a cannon. Patricia has a piano. >. Jason does not own [ piano ]\n< Michael has a bus. Michael has a handgun. Barbara has a jeep. >. Michael does not own [ jeep ]\n< Mary has a shirt. Donald has a beetle. Mary has bread. >. Mary does not own [ beetle ]\n< Sandra has a jersey. Kevin has wine. Sandra has a bus. >. Sandra does not own [ wine ]\n< Margaret has an apple. Daniel has coffee. Daniel has a guitar. >. Daniel does not own [ apple ]\n"}
{"task_id": "task8", "texts": "\n< Charles has vodka. Dorothy has bread. Dorothy has a horse. >. Dorothy does not possess vodka\n< Ronald has a baseball. Ronald has shoes. Karen has a jeep. >. Ronald does not possess jeep\n< Brian has pants. Brian has a mosquito. Linda has a gorilla. >. Brian does not possess [ gorilla ]\n< Helen has a mosquito. Kenneth has a squirrel. Kenneth has pants. >. Kenneth does not possess [ mosquito ]\n< Robert has a mosquito. Karen has a kiwi. Robert has a cannon. >. Robert does not possess [ kiwi ]\n< Brian has a sweater. Linda has meat. Brian has a piano. >. Brian does not possess [ meat ]\n< Dorothy has a gorilla. David has an apple. Dorothy has a baseball. >. Dorothy does not possess [ apple ]\n< Mary has meat. Paul has bread. Paul has a piano. >. Paul does not possess [ meat ]\n"}
{"task_id": "task8", "texts": "\n< Robert has a beetle. Linda has a lime. Linda has a banana. >. Linda does not possess beetle\n< Jeff has a jersey. Ruth has a rifle. Ruth has pants. >. Ruth does not possess jersey\n< Kevin has a pistol. Laura has an orange. Kevin has tea. >. Kevin does not possess [ orange ]\n< Susan has a gorilla. Thomas has a hamburger. Susan has a pineapple. >. Susan does not possess [ hamburger ]\n< Donald has cherries. Donald has a car. Sarah has a rifle. >. Donald does not possess [ rifle ]\n< Sarah has a football. Sarah has a bee. Brian has blackberries. >. Sarah does not possess [ blackberries ]\n< Robert has a monkey. Jennifer has a duck. Jennifer has a bus. >. Jennifer does not possess [ monkey ]\n< Patricia has a pineapple. William has a watermelon. Patricia has underwear. >. Patricia does not possess [ watermelon ]\n"}
{"task_id": "task8", "texts": "\n< Ruth has a jeep. Ronald has a bee. Ronald has a shirt. >. Ronald does not possess jeep\n< Daniel has a cannon. Dorothy has a shirt. Daniel has a pig. >. Daniel does not possess shirt\n< Nancy has a lime. Steven has sheep. Nancy has a basketball. >. Nancy does not possess [ sheep ]\n< Helen has a violin. Helen has whiskey. Richard has a donkey. >. Helen does not possess [ donkey ]\n< Christopher has a cocktail. Laura has a fox. Christopher has juice. >. Christopher does not possess [ fox ]\n< Ruth has a wolf. Thomas has underwear. Ruth has a banana. >. Ruth does not possess [ underwear ]\n< Deborah has a handgun. James has juice. James has a car. >. James does not possess [ handgun ]\n< Anthony has a uniform. Anthony has pizza. Donna has an elephant. >. Anthony does not possess [ elephant ]\n"}
{"task_id": "task8", "texts": "\n< Ruth has a tiger. Ruth has blueberries. Edward has a cat. >. Ruth does not own cat\n< William has a cocktail. Elizabeth has a rabbit. Elizabeth has vodka. >. Elizabeth does not own cocktail\n< Brian has grapes. Brian has a steak. Deborah has a deer. >. Brian does not own [ deer ]\n< John has a goose. Susan has jeans. John has a cocktail. >. John does not own [ jeans ]\n< Mark has a mosquito. Dorothy has juice. Dorothy has a baseball. >. Dorothy does not own [ mosquito ]\n< Mark has pizza. Mark has a watermelon. Barbara has an apple. >. Mark does not own [ apple ]\n< Joseph has a rabbit. Joseph has a gun. Nancy has a revolver. >. Joseph does not own [ revolver ]\n< Thomas has a costume. Kimberly has a steak. Thomas has cake. >. Thomas does not own [ steak ]\n"}
{"task_id": "task9", "texts": "\n< The grenade is Ronald's. The costume is Ronald's. The lime is Maria's. >. Ronald does not own lime\n< T-shirt is Kenneth's. The pizza is Kenneth's. The bee is Nancy's. >. Kenneth does not own bee\n< The mouse is Nancy's. The horse is Michael's. The sweater is Nancy's. >. Nancy does not own [ horse ]\n< The beetle is Karen's. The bus is Jeff's. The goose is Jeff's. >. Jeff does not own [ beetle ]\n< The gun is Laura's. The strawberries are Daniel's. The cannon is Daniel's. >. Daniel does not own [ gun ]\n< The jeep is Barbara's. The squirrel is Joseph's. The apple is Barbara's. >. Barbara does not own [ squirrel ]\n< The motorcycle is Daniel's. The pig is Daniel's. The sheep are Susan's. >. Daniel does not own [ sheep ]\n< The bee is Kenneth's. The apple is Dorothy's. The pants are Kenneth's. >. Kenneth does not own [ apple ]\n"}
{"task_id": "task9", "texts": "\n< The dog is Sandra's. The jeans are Sandra's. The goat is George's. >. Sandra does not possess goat\n< The goat is William's. The beer is Elizabeth's. The cat is Elizabeth's. >. Elizabeth does not possess goat\n< The blackberries are Steven's. The shotgun is Steven's. The motorcycle is Betty's. >. Steven does not possess [ motorcycle ]\n< The bread is Steven's. The basketball is Betty's. The horse is Betty's. >. Betty does not possess [ bread ]\n< The pizza is Richard's. The bee is Nancy's. The fox is Richard's. >. Richard does not possess [ bee ]\n< The horse is Sarah's. The blackberries are Ronald's. The monkey is Ronald's. >. Ronald does not possess [ horse ]\n< The juice is Karen's. The strawberries are Steven's. The hamburger is Steven's. >. Steven does not possess [ juice ]\n< The tea is Anthony's. The sheep are Maria's. The goat is Anthony's. >. Anthony does not possess [ sheep ]\n"}
{"task_id": "task9", "texts": "\n< The wolf is Dorothy's. The jacket is Ronald's. T-shirt is Ronald's. >. Ronald does not have wolf\n< The lime is Maria's. The burger is Joseph's. The strawberries are Joseph's. >. Joseph does not have lime\n< The bee is Sharon's. The tiger is Sharon's. The trousers are Christopher's. >. Sharon does not have [ trousers ]\n< The mouse is Nancy's. The jeep is Ronald's. The guitar is Ronald's. >. Ronald does not have [ mouse ]\n< The bus is Betty's. The elephant is George's. The mouse is Betty's. >. Betty does not have [ elephant ]\n< The pistol is Elizabeth's. The grenade is Elizabeth's. The sweater is Robert's. >. Elizabeth does not have [ sweater ]\n< The apple is Mark's. The spaghetti is Mark's. The deer is Jennifer's. >. Mark does not have [ deer ]\n< The deer is Kimberly's. The soda is Ronald's. The steak is Kimberly's. >. Kimberly does not have [ soda ]\n"}
{"task_id": "task9", "texts": "\n< The shoes are William's. The goat is William's. The pistol is Elizabeth's. >. William does not own pistol\n< The apple is Lisa's. The steak is Lisa's. The violin is George's. >. Lisa does not own violin\n< The blackberries are George's. The bee is George's. The cake is Laura's. >. George does not own [ cake ]\n< The basketball is Kimberly's. The shirt is John's. The revolver is John's. >. John does not own [ basketball ]\n< The handgun is Kenneth's. The jeep is Michelle's. The basketball is Michelle's. >. Michelle does not own [ handgun ]\n< The kiwi is Karen's. The baseball is Anthony's. The gun is Karen's. >. Karen does not own [ baseball ]\n< The pineapple is Michael's. The motorcycle is Karen's. The violin is Michael's. >. Michael does not own [ motorcycle ]\n< The watermelon is Susan's. The jacket is Thomas's. The lemon is Susan's. >. Susan does not own [ jacket ]\n"}
{"task_id": "task9", "texts": "\n< The grapes are Laura's. The hamburger is William's. The wolf is Laura's. >. Laura does not possess hamburger\n< The blueberries are Margaret's. The horse is William's. The fox is Margaret's. >. Margaret does not possess horse\n< The watermelon is Karen's. The squirrel is Karen's. The gorilla is Richard's. >. Karen does not possess [ gorilla ]\n< The tea is Betty's. The whiskey is James's. The jeans are Betty's. >. Betty does not possess [ whiskey ]\n< The gun is Kenneth's. The elephant is Sharon's. The rifle is Kenneth's. >. Kenneth does not possess [ elephant ]\n< The mosquito is David's. The underwear is Sarah's. The gun is Sarah's. >. Sarah does not possess [ mosquito ]\n< The tiger is Lisa's. The cat is Lisa's. The guitar is Thomas's. >. Lisa does not possess [ guitar ]\n< The jeep is Kimberly's. The juice is Mark's. The jacket is Mark's. >. Mark does not possess [ jeep ]\n"}
{"task_id": "task9", "texts": "\n< The cat is Jason's. The spaghetti is Sharon's. The uniform is Sharon's. >. Sharon does not own cat\n< The cannon is Kenneth's. The wine is Jennifer's. The cake is Jennifer's. >. Jennifer does not own cannon\n< The sheep are Donna's. The plum is Thomas's. The jacket is Donna's. >. Donna does not own [ plum ]\n< The wolf is Deborah's. The duck is Deborah's. The pineapple is Ronald's. >. Deborah does not own [ pineapple ]\n< The hamburger is Jeff's. The tiger is Jeff's. The grenade is Betty's. >. Jeff does not own [ grenade ]\n< The jersey is Ronald's. The guitar is Ronald's. The motorcycle is Linda's. >. Ronald does not own [ motorcycle ]\n< The gun is Linda's. The cake is David's. The pig is David's. >. David does not own [ gun ]\n< The coffee is Donna's. The beer is Christopher's. The apple is Donna's. >. Donna does not own [ beer ]\n"}
{"task_id": "task9", "texts": "\n< The squirrel is Maria's. The pear is Joseph's. The sweater is Joseph's. >. Joseph does not own squirrel\n< The lime is Ruth's. The sweater is Ruth's. The trousers are Edward's. >. Ruth does not own trousers\n< T-shirt is William's. The grenade is Sandra's. The whiskey is Sandra's. >. Sandra does not own [ T-shirt ]\n< The trousers are Christopher's. The tiger is Jennifer's. The jacket is Christopher's. >. Christopher does not own [ tiger ]\n< The squirrel is Sandra's. The cannon is Sandra's. The tea is Edward's. >. Sandra does not own [ tea ]\n< The blueberries are Elizabeth's. The banana is Christopher's. The guitar is Elizabeth's. >. Elizabeth does not own [ banana ]\n< The jacket is Brian's. The basketball is Brian's. The bread is Susan's. >. Brian does not own [ bread ]\n< The uniform is Richard's. The pants are Richard's. The watermelon is Betty's. >. Richard does not own [ watermelon ]\n"}
{"task_id": "task9", "texts": "\n< The lion is Mary's. The blackberries are Robert's. The pear is Mary's. >. Mary does not own blackberries\n< The trousers are Joseph's. The watermelon is Joseph's. The spaghetti is Deborah's. >. Joseph does not own spaghetti\n< The steak is Sarah's. The baseball is Ronald's. The lime is Ronald's. >. Ronald does not own [ steak ]\n< The vodka is Jason's. The cannon is Jason's. The piano is Patricia's. >. Jason does not own [ piano ]\n< The bus is Michael's. The handgun is Michael's. The jeep is Barbara's. >. Michael does not own [ jeep ]\n< The shirt is Mary's. The beetle is Donald's. The bread is Mary's. >. Mary does not own [ beetle ]\n< The jersey is Sandra's. The wine is Kevin's. The bus is Sandra's. >. Sandra does not own [ wine ]\n< The apple is Margaret's. The coffee is Daniel's. The guitar is Daniel's. >. Daniel does not own [ apple ]\n"}
{"task_id": "task9", "texts": "\n< The vodka is Charles's. The bread is Dorothy's. The horse is Dorothy's. >. Dorothy does not possess vodka\n< The baseball is Ronald's. The shoes are Ronald's. The jeep is Karen's. >. Ronald does not possess jeep\n< The pants are Brian's. The mosquito is Brian's. The gorilla is Linda's. >. Brian does not possess [ gorilla ]\n< The mosquito is Helen's. The squirrel is Kenneth's. The pants are Kenneth's. >. Kenneth does not possess [ mosquito ]\n< The mosquito is Robert's. The kiwi is Karen's. The cannon is Robert's. >. Robert does not possess [ kiwi ]\n< The sweater is Brian's. The meat is Linda's. The piano is Brian's. >. Brian does not possess [ meat ]\n< The gorilla is Dorothy's. The apple is David's. The baseball is Dorothy's. >. Dorothy does not possess [ apple ]\n< The meat is Mary's. The bread is Paul's. The piano is Paul's. >. Paul does not possess [ meat ]\n"}
{"task_id": "task9", "texts": "\n< The beetle is Robert's. The lime is Linda's. The banana is Linda's. >. Linda does not possess beetle\n< The jersey is Jeff's. The rifle is Ruth's. The pants are Ruth's. >. Ruth does not possess jersey\n< The pistol is Kevin's. The orange is Laura's. The tea is Kevin's. >. Kevin does not possess [ orange ]\n< The gorilla is Susan's. The hamburger is Thomas's. The pineapple is Susan's. >. Susan does not possess [ hamburger ]\n< The cherries are Donald's. The car is Donald's. The rifle is Sarah's. >. Donald does not possess [ rifle ]\n< The football is Sarah's. The bee is Sarah's. The blackberries are Brian's. >. Sarah does not possess [ blackberries ]\n< The monkey is Robert's. The duck is Jennifer's. The bus is Jennifer's. >. Jennifer does not possess [ monkey ]\n< The pineapple is Patricia's. The watermelon is William's. The underwear is Patricia's. >. Patricia does not possess [ watermelon ]\n"}
{"task_id": "task9", "texts": "\n< The jeep is Ruth's. The bee is Ronald's. The shirt is Ronald's. >. Ronald does not possess jeep\n< The cannon is Daniel's. The shirt is Dorothy's. The pig is Daniel's. >. Daniel does not possess shirt\n< The lime is Nancy's. The sheep are Steven's. The basketball is Nancy's. >. Nancy does not possess [ sheep ]\n< The violin is Helen's. The whiskey is Helen's. The donkey is Richard's. >. Helen does not possess [ donkey ]\n< The cocktail is Christopher's. The fox is Laura's. The juice is Christopher's. >. Christopher does not possess [ fox ]\n< The wolf is Ruth's. The underwear is Thomas's. The banana is Ruth's. >. Ruth does not possess [ underwear ]\n< The handgun is Deborah's. The juice is James's. The car is James's. >. James does not possess [ handgun ]\n< The uniform is Anthony's. The pizza is Anthony's. The elephant is Donna's. >. Anthony does not possess [ elephant ]\n"}
{"task_id": "task9", "texts": "\n< The tiger is Ruth's. The blueberries are Ruth's. The cat is Edward's. >. Ruth does not own cat\n< The cocktail is William's. The rabbit is Elizabeth's. The vodka is Elizabeth's. >. Elizabeth does not own cocktail\n< The grapes are Brian's. The steak is Brian's. The deer is Deborah's. >. Brian does not own [ deer ]\n< The goose is John's. The jeans are Susan's. The cocktail is John's. >. John does not own [ jeans ]\n< The mosquito is Mark's. The juice is Dorothy's. The baseball is Dorothy's. >. Dorothy does not own [ mosquito ]\n< The pizza is Mark's. The watermelon is Mark's. The apple is Barbara's. >. Mark does not own [ apple ]\n< The rabbit is Joseph's. The gun is Joseph's. The revolver is Nancy's. >. Joseph does not own [ revolver ]\n< The costume is Thomas's. The steak is Kimberly's. The cake is Thomas's. >. Thomas does not own [ steak ]\n"}
{"task_id": "task10", "texts": "\n< Anthony has juice. Kimberly has a bee. Sandra has blueberries. >. Anthony has juice\n< Deborah has a gun. Daniel has strawberries. Edward has a cannon. >. Deborah has gun\n< Brian has a dog. Barbara has jeans. Anthony has a pistol. >. Barbara has [ jeans ]\n< George has a goat. Richard has a uniform. Karen has a fox. >. George has [ goat ]\n< William has blackberries. Steven has a steak. Dorothy has a wolf. >. Steven has [ steak ]\n< Carol has a lemon. Kevin has a goat. Karen has a violin. >. Karen has [ violin ]\n< Mark has blackberries. Steven has meat. Linda has grapes. >. Mark has [ blackberries ]\n< Patricia has an elephant. Lisa has wine. Donald has sheep. >. Donald has [ sheep ]\n"}
{"task_id": "task10", "texts": "\n< James has a bus. Donald has a guitar. Mark has a mouse. >. Mark possesses mouse\n< Christopher has an apricot. Kimberly has cake. Laura has a donkey. >. Kimberly possesses cake\n< Betty has a mango. Richard has a mouse. Ruth has trousers. >. Ruth possesses [ trousers ]\n< Betty has a cow. Jennifer has a cocktail. Helen has a mouse. >. Helen possesses [ mouse ]\n< Donald has coffee. Kevin has a goat. David has a papaya. >. Donald possesses [ coffee ]\n< Paul has tea. David has a rabbit. Mark has whiskey. >. David possesses [ rabbit ]\n< Dorothy has a goat. Joseph has vodka. Sandra has a football. >. Joseph possesses [ vodka ]\n< Dorothy has a burger. Nancy has a bus. Jason has a deer. >. Dorothy possesses [ burger ]\n"}
{"task_id": "task10", "texts": "\n< Jason has a steak. James has a handgun. Kevin has a basketball. >. James owns handgun\n< Edward has a plum. Nancy has cherries. Betty has a mango. >. Betty owns mango\n< Jennifer has a gorilla. Patricia has a revolver. Michelle has blackberries. >. Patricia owns [ revolver ]\n< Charles has a gun. George has a shotgun. Susan has a football. >. Charles owns [ gun ]\n< Linda has strawberries. Sharon has a watermelon. Robert has a jersey. >. Linda owns [ strawberries ]\n< Joseph has a fox. Ronald has a car. Edward has a squirrel. >. Ronald owns [ car ]\n< Jennifer has sheep. Elizabeth has a car. Ronald has meat. >. Elizabeth owns [ car ]\n< James has a jeep. Patricia has a car. Sharon has a cocktail. >. Sharon owns [ cocktail ]\n"}
{"task_id": "task10", "texts": "\n< Deborah has a mouse. Steven has a mango. Sarah has a costume. >. Sarah owns costume\n< Elizabeth has a pineapple. Sarah has a guitar. Jennifer has a cow. >. Jennifer owns cow\n< Joseph has a durian. Sandra has a tiger. Daniel has sheep. >. Joseph owns [ durian ]\n< Sandra has a durian. Patricia has spaghetti. Elizabeth has a cat. >. Sandra owns [ durian ]\n< Carol has a football. David has a motorcycle. John has a donkey. >. Carol owns [ football ]\n< Sandra has coffee. Carol has bread. Mark has a shotgun. >. Mark owns [ shotgun ]\n< Ruth has blueberries. Jennifer has a gun. Edward has a lime. >. Jennifer owns [ gun ]\n< George has a steak. Betty has trousers. Jennifer has a sweater. >. Betty owns [ trousers ]\n"}
{"task_id": "task10", "texts": "\n< Dorothy has a pig. Robert has a plum. Carol has a jeep. >. Carol owns jeep\n< Donna has blackberries. Dorothy has a gun. Maria has a rifle. >. Maria owns rifle\n< Ronald has a watermelon. Donald has T-shirt. Lisa has jeans. >. Ronald owns [ watermelon ]\n< Deborah has a mango. Donald has tea. Susan has a violin. >. Donald owns [ tea ]\n< Mary has a cannon. William has a revolver. Dorothy has a deer. >. William owns [ revolver ]\n< Donna has underwear. James has a tiger. Helen has a shotgun. >. Donna owns [ underwear ]\n< Margaret has shoes. Thomas has a car. Kimberly has a cow. >. Margaret owns [ shoes ]\n< Kevin has an apple. Richard has a donkey. Sandra has a lion. >. Kevin owns [ apple ]\n"}
{"task_id": "task10", "texts": "\n< Sarah has underwear. Ronald has a fox. Betty has an elephant. >. Sarah owns underwear\n< Linda has a violin. Daniel has a gun. Joseph has a football. >. Daniel owns gun\n< Maria has a steak. Mark has a mango. Christopher has vodka. >. Maria owns [ steak ]\n< Steven has a jersey. George has a pig. Edward has underwear. >. George owns [ pig ]\n< Ronald has a gorilla. Deborah has a jacket. Kenneth has a lemon. >. Kenneth owns [ lemon ]\n< Daniel has jeans. Charles has blackberries. Laura has a goose. >. Laura owns [ goose ]\n< Sharon has vodka. George has a shotgun. Lisa has a mosquito. >. George owns [ shotgun ]\n< Helen has sheep. Sarah has a jersey. Ruth has a rifle. >. Sarah owns [ jersey ]\n"}
{"task_id": "task10", "texts": "\n< Ronald has a handgun. Carol has juice. Kenneth has a cannon. >. Carol possesses juice\n< Margaret has beer. Sandra has pizza. Lisa has bread. >. Margaret possesses beer\n< Brian has a monkey. Anthony has a steak. Betty has a pig. >. Betty possesses [ pig ]\n< Ruth has a horse. Daniel has a watermelon. Karen has a uniform. >. Karen possesses [ uniform ]\n< Anthony has an elephant. Michael has a shirt. Richard has a lemon. >. Anthony possesses [ elephant ]\n< Edward has a pear. Elizabeth has a gorilla. David has wine. >. David possesses [ wine ]\n< Mary has a lime. Lisa has coffee. John has a mouse. >. John possesses [ mouse ]\n< John has a jacket. Sharon has a costume. Ruth has a pistol. >. Sharon possesses [ costume ]\n"}
{"task_id": "task10", "texts": "\n< Betty has sheep. Ruth has a plum. Donna has a jacket. >. Ruth possesses plum\n< Joseph has a steak. Deborah has a wolf. Sharon has a grenade. >. Deborah possesses wolf\n< Nancy has a dog. Ronald has a cat. Mary has tea. >. Nancy possesses [ dog ]\n< Jennifer has a piano. David has vodka. Edward has trousers. >. Edward possesses [ trousers ]\n< Laura has coffee. Lisa has beer. John has an apple. >. Lisa possesses [ beer ]\n< Donald has strawberries. Deborah has a rabbit. Dorothy has an orange. >. Deborah possesses [ rabbit ]\n< Charles has shoes. Deborah has a steak. Patricia has a squirrel. >. Charles possesses [ shoes ]\n< Brian has a cow. Donna has sheep. Mark has a handgun. >. Mark possesses [ handgun ]\n"}
{"task_id": "task10", "texts": "\n< Susan has a squirrel. Sandra has a grenade. Helen has a jacket. >. Helen possesses jacket\n< Elizabeth has blackberries. Margaret has a bee. Nancy has spaghetti. >. Elizabeth possesses blackberries\n< Kimberly has a taxi. Jeff has a goat. Thomas has a rabbit. >. Jeff possesses [ goat ]\n< Thomas has an apricot. Carol has a deer. Ruth has a jacket. >. Thomas possesses [ apricot ]\n< Ruth has vodka. Kenneth has a dog. Margaret has a cannon. >. Margaret possesses [ cannon ]\n< Paul has a rabbit. Deborah has a tiger. Kevin has a cannon. >. Deborah possesses [ tiger ]\n< Carol has a steak. Anthony has bread. Robert has vodka. >. Carol possesses [ steak ]\n< Sharon has a shotgun. Laura has a basketball. Kevin has soda. >. Sharon possesses [ shotgun ]\n"}
{"task_id": "task10", "texts": "\n< Edward has a lime. Elizabeth has cherries. Christopher has tea. >. Elizabeth owns cherries\n< Sharon has a durian. Donald has a steak. Edward has juice. >. Sharon owns durian\n< Nancy has a steak. Charles has a cat. Elizabeth has a pig. >. Charles owns [ cat ]\n< Jason has a piano. John has a jacket. Ruth has an apple. >. John owns [ jacket ]\n< Lisa has a mosquito. Sarah has soda. Dorothy has a tiger. >. Dorothy owns [ tiger ]\n< Christopher has a cocktail. Joseph has a squirrel. John has pants. >. Christopher owns [ cocktail ]\n< Sharon has a lime. Kenneth has an elephant. Susan has blackberries. >. Sharon owns [ lime ]\n< Joseph has a piano. Dorothy has a pistol. Linda has pants. >. Linda owns [ pants ]\n"}
{"task_id": "task10", "texts": "\n< William has blackberries. Patricia has a monkey. Daniel has a horse. >. William has blackberries\n< Karen has a shotgun. Michael has a mouse. Thomas has a mosquito. >. Michael has mouse\n< Patricia has a watermelon. John has a shirt. Donna has a horse. >. John has [ shirt ]\n< Richard has vodka. Anthony has bread. Mark has a horse. >. Richard has [ vodka ]\n< Donna has a burger. Michelle has juice. Ronald has a deer. >. Ronald has [ deer ]\n< Nancy has a rifle. Carol has a fox. Christopher has a beetle. >. Carol has [ fox ]\n< Jennifer has a motorcycle. Robert has a guitar. William has a grenade. >. William has [ grenade ]\n< Thomas has jeans. Lisa has strawberries. Carol has a costume. >. Thomas has [ jeans ]\n"}
{"task_id": "task10", "texts": "\n< Mary has a goose. Sharon has pants. Charles has a motorcycle. >. Mary possesses goose\n< Kenneth has beer. Margaret has grapes. Nancy has a mouse. >. Margaret possesses grapes\n< Karen has a cannon. James has pants. Jason has pizza. >. James possesses [ pants ]\n< Thomas has a gun. Charles has strawberries. Maria has a mango. >. Charles possesses [ strawberries ]\n< Joseph has a handgun. Elizabeth has a mouse. Michael has a burger. >. Joseph possesses [ handgun ]\n< Kevin has meat. Kenneth has a violin. Brian has a gun. >. Brian possesses [ gun ]\n< Dorothy has a jeep. Laura has sheep. Donna has a taxi. >. Donna possesses [ taxi ]\n< Kimberly has a handgun. Donna has a pig. Daniel has sheep. >. Donna possesses [ pig ]\n"}
{"task_id": "task11", "texts": "\n< The juice is Anthony's. The bee is Kimberly's. The blueberries are Sandra's. >. Anthony has juice\n< The gun is Deborah's. The strawberries are Daniel's. The cannon is Edward's. >. Deborah has gun\n< The dog is Brian's. The jeans are Barbara's. The pistol is Anthony's. >. Barbara has [ jeans ]\n< The goat is George's. The uniform is Richard's. The fox is Karen's. >. George has [ goat ]\n< The blackberries are William's. The steak is Steven's. The wolf is Dorothy's. >. Steven has [ steak ]\n< The lemon is Carol's. The goat is Kevin's. The violin is Karen's. >. Karen has [ violin ]\n< The blackberries are Mark's. The meat is Steven's. The grapes are Linda's. >. Mark has [ blackberries ]\n< The elephant is Patricia's. The wine is Lisa's. The sheep are Donald's. >. Donald has [ sheep ]\n"}
{"task_id": "task11", "texts": "\n< The bus is James's. The guitar is Donald's. The mouse is Mark's. >. Mark possesses mouse\n< The apricot is Christopher's. The cake is Kimberly's. The donkey is Laura's. >. Kimberly possesses cake\n< The mango is Betty's. The mouse is Richard's. The trousers are Ruth's. >. Ruth possesses [ trousers ]\n< The cow is Betty's. The cocktail is Jennifer's. The mouse is Helen's. >. Helen possesses [ mouse ]\n< The coffee is Donald's. The goat is Kevin's. The papaya is David's. >. Donald possesses [ coffee ]\n< The tea is Paul's. The rabbit is David's. The whiskey is Mark's. >. David possesses [ rabbit ]\n< The goat is Dorothy's. The vodka is Joseph's. The football is Sandra's. >. Joseph possesses [ vodka ]\n< The burger is Dorothy's. The bus is Nancy's. The deer is Jason's. >. Dorothy possesses [ burger ]\n"}
{"task_id": "task11", "texts": "\n< The steak is Jason's. The handgun is James's. The basketball is Kevin's. >. James owns handgun\n< The plum is Edward's. The cherries are Nancy's. The mango is Betty's. >. Betty owns mango\n< The gorilla is Jennifer's. The revolver is Patricia's. The blackberries are Michelle's. >. Patricia owns [ revolver ]\n< The gun is Charles's. The shotgun is George's. The football is Susan's. >. Charles owns [ gun ]\n< The strawberries are Linda's. The watermelon is Sharon's. The jersey is Robert's. >. Linda owns [ strawberries ]\n< The fox is Joseph's. The car is Ronald's. The squirrel is Edward's. >. Ronald owns [ car ]\n< The sheep are Jennifer's. The car is Elizabeth's. The meat is Ronald's. >. Elizabeth owns [ car ]\n< The jeep is James's. The car is Patricia's. The cocktail is Sharon's. >. Sharon owns [ cocktail ]\n"}
{"task_id": "task11", "texts": "\n< The mouse is Deborah's. The mango is Steven's. The costume is Sarah's. >. Sarah owns costume\n< The pineapple is Elizabeth's. The guitar is Sarah's. The cow is Jennifer's. >. Jennifer owns cow\n< The durian is Joseph's. The tiger is Sandra's. The sheep are Daniel's. >. Joseph owns [ durian ]\n< The durian is Sandra's. The spaghetti is Patricia's. The cat is Elizabeth's. >. Sandra owns [ durian ]\n< The football is Carol's. The motorcycle is David's. The donkey is John's. >. Carol owns [ football ]\n< The coffee is Sandra's. The bread is Carol's. The shotgun is Mark's. >. Mark owns [ shotgun ]\n< The blueberries are Ruth's. The gun is Jennifer's. The lime is Edward's. >. Jennifer owns [ gun ]\n< The steak is George's. The trousers are Betty's. The sweater is Jennifer's. >. Betty owns [ trousers ]\n"}
{"task_id": "task11", "texts": "\n< The pig is Dorothy's. The plum is Robert's. The jeep is Carol's. >. Carol owns jeep\n< The blackberries are Donna's. The gun is Dorothy's. The rifle is Maria's. >. Maria owns rifle\n< The watermelon is Ronald's. T-shirt is Donald's. The jeans are Lisa's. >. Ronald owns [ watermelon ]\n< The mango is Deborah's. The tea is Donald's. The violin is Susan's. >. Donald owns [ tea ]\n< The cannon is Mary's. The revolver is William's. The deer is Dorothy's. >. William owns [ revolver ]\n< The underwear is Donna's. The tiger is James's. The shotgun is Helen's. >. Donna owns [ underwear ]\n< The shoes are Margaret's. The car is Thomas's. The cow is Kimberly's. >. Margaret owns [ shoes ]\n< The apple is Kevin's. The donkey is Richard's. The lion is Sandra's. >. Kevin owns [ apple ]\n"}
{"task_id": "task11", "texts": "\n< The underwear is Sarah's. The fox is Ronald's. The elephant is Betty's. >. Sarah owns underwear\n< The violin is Linda's. The gun is Daniel's. The football is Joseph's. >. Daniel owns gun\n< The steak is Maria's. The mango is Mark's. The vodka is Christopher's. >. Maria owns [ steak ]\n< The jersey is Steven's. The pig is George's. The underwear is Edward's. >. George owns [ pig ]\n< The gorilla is Ronald's. The jacket is Deborah's. The lemon is Kenneth's. >. Kenneth owns [ lemon ]\n< The jeans are Daniel's. The blackberries are Charles's. The goose is Laura's. >. Laura owns [ goose ]\n< The vodka is Sharon's. The shotgun is George's. The mosquito is Lisa's. >. George owns [ shotgun ]\n< The sheep are Helen's. The jersey is Sarah's. The rifle is Ruth's. >. Sarah owns [ jersey ]\n"}
{"task_id": "task11", "texts": "\n< The handgun is Ronald's. The juice is Carol's. The cannon is Kenneth's. >. Carol possesses juice\n< The beer is Margaret's. The pizza is Sandra's. The bread is Lisa's. >. Margaret possesses beer\n< The monkey is Brian's. The steak is Anthony's. The pig is Betty's. >. Betty possesses [ pig ]\n< The horse is Ruth's. The watermelon is Daniel's. The uniform is Karen's. >. Karen possesses [ uniform ]\n< The elephant is Anthony's. The shirt is Michael's. The lemon is Richard's. >. Anthony possesses [ elephant ]\n< The pear is Edward's. The gorilla is Elizabeth's. The wine is David's. >. David possesses [ wine ]\n< The lime is Mary's. The coffee is Lisa's. The mouse is John's. >. John possesses [ mouse ]\n< The jacket is John's. The costume is Sharon's. The pistol is Ruth's. >. Sharon possesses [ costume ]\n"}
{"task_id": "task11", "texts": "\n< The sheep are Betty's. The plum is Ruth's. The jacket is Donna's. >. Ruth possesses plum\n< The steak is Joseph's. The wolf is Deborah's. The grenade is Sharon's. >. Deborah possesses wolf\n< The dog is Nancy's. The cat is Ronald's. The tea is Mary's. >. Nancy possesses [ dog ]\n< The piano is Jennifer's. The vodka is David's. The trousers are Edward's. >. Edward possesses [ trousers ]\n< The coffee is Laura's. The beer is Lisa's. The apple is John's. >. Lisa possesses [ beer ]\n< The strawberries are Donald's. The rabbit is Deborah's. The orange is Dorothy's. >. Deborah possesses [ rabbit ]\n< The shoes are Charles's. The steak is Deborah's. The squirrel is Patricia's. >. Charles possesses [ shoes ]\n< The cow is Brian's. The sheep are Donna's. The handgun is Mark's. >. Mark possesses [ handgun ]\n"}
{"task_id": "task11", "texts": "\n< The squirrel is Susan's. The grenade is Sandra's. The jacket is Helen's. >. Helen possesses jacket\n< The blackberries are Elizabeth's. The bee is Margaret's. The spaghetti is Nancy's. >. Elizabeth possesses blackberries\n< The taxi is Kimberly's. The goat is Jeff's. The rabbit is Thomas's. >. Jeff possesses [ goat ]\n< The apricot is Thomas's. The deer is Carol's. The jacket is Ruth's. >. Thomas possesses [ apricot ]\n< The vodka is Ruth's. The dog is Kenneth's. The cannon is Margaret's. >. Margaret possesses [ cannon ]\n< The rabbit is Paul's. The tiger is Deborah's. The cannon is Kevin's. >. Deborah possesses [ tiger ]\n< The steak is Carol's. The bread is Anthony's. The vodka is Robert's. >. Carol possesses [ steak ]\n< The shotgun is Sharon's. The basketball is Laura's. The soda is Kevin's. >. Sharon possesses [ shotgun ]\n"}
{"task_id": "task11", "texts": "\n< The lime is Edward's. The cherries are Elizabeth's. The tea is Christopher's. >. Elizabeth owns cherries\n< The durian is Sharon's. The steak is Donald's. The juice is Edward's. >. Sharon owns durian\n< The steak is Nancy's. The cat is Charles's. The pig is Elizabeth's. >. Charles owns [ cat ]\n< The piano is Jason's. The jacket is John's. The apple is Ruth's. >. John owns [ jacket ]\n< The mosquito is Lisa's. The soda is Sarah's. The tiger is Dorothy's. >. Dorothy owns [ tiger ]\n< The cocktail is Christopher's. The squirrel is Joseph's. The pants are John's. >. Christopher owns [ cocktail ]\n< The lime is Sharon's. The elephant is Kenneth's. The blackberries are Susan's. >. Sharon owns [ lime ]\n< The piano is Joseph's. The pistol is Dorothy's. The pants are Linda's. >. Linda owns [ pants ]\n"}
{"task_id": "task11", "texts": "\n< The blackberries are William's. The monkey is Patricia's. The horse is Daniel's. >. William has blackberries\n< The shotgun is Karen's. The mouse is Michael's. The mosquito is Thomas's. >. Michael has mouse\n< The watermelon is Patricia's. The shirt is John's. The horse is Donna's. >. John has [ shirt ]\n< The vodka is Richard's. The bread is Anthony's. The horse is Mark's. >. Richard has [ vodka ]\n< The burger is Donna's. The juice is Michelle's. The deer is Ronald's. >. Ronald has [ deer ]\n< The rifle is Nancy's. The fox is Carol's. The beetle is Christopher's. >. Carol has [ fox ]\n< The motorcycle is Jennifer's. The guitar is Robert's. The grenade is William's. >. William has [ grenade ]\n< The jeans are Thomas's. The strawberries are Lisa's. The costume is Carol's. >. Thomas has [ jeans ]\n"}
{"task_id": "task11", "texts": "\n< The goose is Mary's. The pants are Sharon's. The motorcycle is Charles's. >. Mary possesses goose\n< The beer is Kenneth's. The grapes are Margaret's. The mouse is Nancy's. >. Margaret possesses grapes\n< The cannon is Karen's. The pants are James's. The pizza is Jason's. >. James possesses [ pants ]\n< The gun is Thomas's. The strawberries are Charles's. The mango is Maria's. >. Charles possesses [ strawberries ]\n< The handgun is Joseph's. The mouse is Elizabeth's. The burger is Michael's. >. Joseph possesses [ handgun ]\n< The meat is Kevin's. The violin is Kenneth's. The gun is Brian's. >. Brian possesses [ gun ]\n< The jeep is Dorothy's. The sheep are Laura's. The taxi is Donna's. >. Donna possesses [ taxi ]\n< The handgun is Kimberly's. The pig is Donna's. The sheep are Daniel's. >. Donna possesses [ pig ]\n"}
{"task_id": "task12", "texts": "\n< Patricia has a violin. Linda has a violin. Jennifer has a peach. >. Who does not have violin? Jennifer\n< Sharon has underwear. James has a cocktail. Patricia has a cocktail. >. Who does not have cocktail? Sharon\n< Maria has a taxi. Lisa has a bee. Mark has a bee. >. Who does not have bee? [ Maria ]\n< Kenneth has a burger. Jennifer has a uniform. Carol has a uniform. >. Who does not have uniform? [ Kenneth ]\n< Joseph has shoes. Steven has a fox. Thomas has a fox. >. Who does not have fox? [ Joseph ]\n< Sharon has a papaya. Linda has a papaya. Patricia has a motorcycle. >. Who does not have papaya? [ Patricia ]\n< Anthony has underwear. Paul has a donkey. Barbara has underwear. >. Who does not have underwear? [ Paul ]\n< Sarah has a taxi. Joseph has a peach. Robert has a taxi. >. Who does not have taxi? [ Joseph ]\n"}
{"task_id": "task12", "texts": "\n< Charles has a wolf. Kevin has a lime. Sharon has a lime. >. Who does not have lime? Charles\n< Jason has a monkey. James has a monkey. Brian has whiskey. >. Who does not have monkey? Brian\n< Barbara has a pineapple. James has a jeep. Richard has a jeep. >. Who does not have jeep? [ Barbara ]\n< Ronald has beer. Patricia has a pear. Mary has beer. >. Who does not have beer? [ Patricia ]\n< John has a lime. Kenneth has a squirrel. Susan has a squirrel. >. Who does not have squirrel? [ John ]\n< Karen has spaghetti. Barbara has spaghetti. Lisa has a grenade. >. Who does not have spaghetti? [ Lisa ]\n< Charles has a cat. Robert has strawberries. James has strawberries. >. Who does not have strawberries? [ Charles ]\n< Michelle has a pineapple. Elizabeth has a cow. Kimberly has a pineapple. >. Who does not have pineapple? [ Elizabeth ]\n"}
{"task_id": "task12", "texts": "\n< Daniel has bread. Kenneth has a jeep. Betty has a jeep. >. Who does not have jeep? Daniel\n< Michelle has a cannon. Susan has a cannon. Patricia has a durian. >. Who does not have cannon? Patricia\n< Edward has a goat. James has a goat. Nancy has a steak. >. Who does not have goat? [ Nancy ]\n< Linda has a rifle. Michelle has a bee. William has a bee. >. Who does not have bee? [ Linda ]\n< Jeff has a lemon. Helen has a taxi. Elizabeth has a lemon. >. Who does not have lemon? [ Helen ]\n< Daniel has a deer. Richard has a uniform. Laura has a deer. >. Who does not have deer? [ Richard ]\n< Patricia has a guitar. Barbara has bread. Thomas has bread. >. Who does not have bread? [ Patricia ]\n< Michael has a lime. Sarah has a jersey. Margaret has a lime. >. Who does not have lime? [ Sarah ]\n"}
{"task_id": "task12", "texts": "\n< Anthony has a lime. Kimberly has a lime. Joseph has a shirt. >. Who does not possess lime? Joseph\n< Kenneth has jeans. Susan has a pig. Carol has a pig. >. Who does not possess pig? Kenneth\n< Carol has pizza. Donald has a uniform. Richard has a uniform. >. Who does not possess uniform? [ Carol ]\n< Deborah has a plum. Brian has a rabbit. Mark has a plum. >. Who does not possess plum? [ Brian ]\n< Brian has a jacket. Donald has a jacket. Mark has a durian. >. Who does not possess jacket? [ Mark ]\n< Lisa has a goat. Mary has a goat. John has an apricot. >. Who does not possess goat? [ John ]\n< John has a rifle. Charles has an apricot. Robert has an apricot. >. Who does not possess apricot? [ John ]\n< Steven has a costume. Sandra has pizza. Mark has a costume. >. Who does not possess costume? [ Sandra ]\n"}
{"task_id": "task12", "texts": "\n< Karen has a baseball. Nancy has a steak. Donald has a steak. >. Who does not have steak? Karen\n< Barbara has a cow. Ronald has a plum. Sarah has a cow. >. Who does not have cow? Ronald\n< Anthony has spaghetti. Donna has spaghetti. William has a sweater. >. Who does not have spaghetti? [ William ]\n< Joseph has a guitar. Charles has a cat. Dorothy has a guitar. >. Who does not have guitar? [ Charles ]\n< Sarah has vodka. Kimberly has vodka. Jennifer has a steak. >. Who does not have vodka? [ Jennifer ]\n< Dorothy has a jeep. John has a monkey. Thomas has a monkey. >. Who does not have monkey? [ Dorothy ]\n< Jeff has blackberries. Kenneth has a deer. Ruth has a deer. >. Who does not have deer? [ Jeff ]\n< Nancy has a dog. Paul has a dog. Steven has a beetle. >. Who does not have dog? [ Steven ]\n"}
{"task_id": "task12", "texts": "\n< Daniel has a mango. Michelle has a motorcycle. Nancy has a mango. >. Who does not own mango? Michelle\n< Donald has a shirt. Karen has a pineapple. Lisa has a pineapple. >. Who does not own pineapple? Donald\n< Nancy has a baseball. Patricia has a goat. Jeff has a goat. >. Who does not own goat? [ Nancy ]\n< Sharon has a dog. Carol has a dog. Michael has a mosquito. >. Who does not own dog? [ Michael ]\n< Patricia has a car. Kimberly has a car. Deborah has beer. >. Who does not own car? [ Deborah ]\n< William has a cow. Paul has a gun. Thomas has a cow. >. Who does not own cow? [ Paul ]\n< Deborah has grapes. Thomas has a jersey. Margaret has a jersey. >. Who does not own jersey? [ Deborah ]\n< Nancy has a burger. Elizabeth has a burger. Charles has a grenade. >. Who does not own burger? [ Charles ]\n"}
{"task_id": "task12", "texts": "\n< Donald has beer. Elizabeth has a football. Helen has beer. >. Who does not possess beer? Elizabeth\n< Mark has a hamburger. Anthony has a lime. Michael has a lime. >. Who does not possess lime? Mark\n< William has meat. Paul has pants. Deborah has pants. >. Who does not possess pants? [ William ]\n< John has an apricot. Donna has a revolver. Patricia has a revolver. >. Who does not possess revolver? [ John ]\n< Laura has a horse. Carol has a peach. Edward has a horse. >. Who does not possess horse? [ Carol ]\n< Christopher has a mosquito. Ronald has strawberries. Karen has strawberries. >. Who does not possess strawberries? [ Christopher ]\n< Ruth has a tiger. Sarah has a tiger. Sharon has a jeep. >. Who does not possess tiger? [ Sharon ]\n< Paul has soda. Carol has soda. Sharon has bread. >. Who does not possess soda? [ Sharon ]\n"}
{"task_id": "task12", "texts": "\n< Anthony has a motorcycle. Mary has a guitar. Edward has a motorcycle. >. Who does not possess motorcycle? Mary\n< Steven has wine. Paul has wine. Helen has a cannon. >. Who does not possess wine? Helen\n< George has a basketball. Michael has pants. Margaret has pants. >. Who does not possess pants? [ George ]\n< Deborah has a shotgun. James has a guitar. Linda has a guitar. >. Who does not possess guitar? [ Deborah ]\n< Betty has a rifle. William has a guitar. George has a rifle. >. Who does not possess rifle? [ William ]\n< Sharon has a banana. Charles has a banana. Mary has a motorcycle. >. Who does not possess banana? [ Mary ]\n< Edward has a jersey. Betty has a taxi. Linda has a taxi. >. Who does not possess taxi? [ Edward ]\n< Robert has wine. Betty has a durian. Mark has a durian. >. Who does not possess durian? [ Robert ]\n"}
{"task_id": "task12", "texts": "\n< Robert has a jersey. Dorothy has a pistol. Kenneth has a jersey. >. Who does not own jersey? Dorothy\n< Lisa has a beetle. George has a cow. Anthony has a beetle. >. Who does not own beetle? George\n< Barbara has a goose. Margaret has a goose. Brian has juice. >. Who does not own goose? [ Brian ]\n< Linda has a bee. Jason has a bee. David has a motorcycle. >. Who does not own bee? [ David ]\n< Paul has a baseball. Edward has a monkey. Brian has a monkey. >. Who does not own monkey? [ Paul ]\n< Kevin has shoes. John has a gun. Kimberly has a gun. >. Who does not own gun? [ Kevin ]\n< Barbara has trousers. Robert has juice. Elizabeth has juice. >. Who does not own juice? [ Barbara ]\n< Elizabeth has a taxi. Karen has a taxi. Kevin has a monkey. >. Who does not own taxi? [ Kevin ]\n"}
{"task_id": "task12", "texts": "\n< Michael has an orange. Jason has a gorilla. Karen has an orange. >. Who does not own orange? Jason\n< George has a cat. Sandra has a baseball. Michael has a baseball. >. Who does not own baseball? George\n< Donald has tea. Kevin has tea. Sandra has a lion. >. Who does not own tea? [ Sandra ]\n< John has a gun. Mary has a cat. Robert has a cat. >. Who does not own cat? [ John ]\n< Deborah has a rabbit. Mark has a rabbit. Sandra has blueberries. >. Who does not own rabbit? [ Sandra ]\n< Richard has cake. Nancy has a cannon. David has cake. >. Who does not own cake? [ Nancy ]\n< Lisa has jeans. James has a baseball. Mary has jeans. >. Who does not own jeans? [ James ]\n< Nancy has a basketball. Edward has a basketball. Mark has juice. >. Who does not own basketball? [ Mark ]\n"}
{"task_id": "task12", "texts": "\n< Thomas has a football. Kenneth has a football. John has a kiwi. >. Who does not have football? John\n< Jeff has soda. Jennifer has a gorilla. Karen has soda. >. Who does not have soda? Jennifer\n< Michelle has a bus. Thomas has a bus. Kenneth has an apple. >. Who does not have bus? [ Kenneth ]\n< Nancy has whiskey. Jennifer has a fox. Kimberly has a fox. >. Who does not have fox? [ Nancy ]\n< David has an apple. Jason has a pistol. George has a pistol. >. Who does not have pistol? [ David ]\n< Karen has an apple. Linda has pants. Daniel has an apple. >. Who does not have apple? [ Linda ]\n< Christopher has a steak. Richard has a jacket. William has a steak. >. Who does not have steak? [ Richard ]\n< Elizabeth has a steak. Helen has a wolf. Sarah has a steak. >. Who does not have steak? [ Helen ]\n"}
{"task_id": "task12", "texts": "\n< Susan has jeans. Edward has jeans. Elizabeth has a bee. >. Who does not have jeans? Elizabeth\n< Kimberly has a steak. Michael has sheep. Anthony has sheep. >. Who does not have sheep? Kimberly\n< Mark has a gorilla. Michelle has a pistol. Mary has a pistol. >. Who does not have pistol? [ Mark ]\n< John has a baseball. Helen has a baseball. William has soda. >. Who does not have baseball? [ William ]\n< Donald has a peach. Mark has a shirt. Jason has a peach. >. Who does not have peach? [ Mark ]\n< Michelle has a donkey. David has strawberries. Charles has a donkey. >. Who does not have donkey? [ David ]\n< Betty has a baseball. John has a baseball. Robert has a deer. >. Who does not have baseball? [ Robert ]\n< Helen has a uniform. Barbara has an apple. Elizabeth has a uniform. >. Who does not have uniform? [ Barbara ]\n"}
{"task_id": "task13", "texts": "\n< The violin is Patricia's. The violin is Linda's. The peach is Jennifer's. >. Who does not have violin? Jennifer\n< The underwear is Sharon's. The cocktail is James's. The cocktail is Patricia's. >. Who does not have cocktail? Sharon\n< The taxi is Maria's. The bee is Lisa's. The bee is Mark's. >. Who does not have bee? [ Maria ]\n< The burger is Kenneth's. The uniform is Jennifer's. The uniform is Carol's. >. Who does not have uniform? [ Kenneth ]\n< The shoes are Joseph's. The fox is Steven's. The fox is Thomas's. >. Who does not have fox? [ Joseph ]\n< The papaya is Sharon's. The papaya is Linda's. The motorcycle is Patricia's. >. Who does not have papaya? [ Patricia ]\n< The underwear is Anthony's. The donkey is Paul's. The underwear is Barbara's. >. Who does not have underwear? [ Paul ]\n< The taxi is Sarah's. The peach is Joseph's. The taxi is Robert's. >. Who does not have taxi? [ Joseph ]\n"}
{"task_id": "task13", "texts": "\n< The wolf is Charles's. The lime is Kevin's. The lime is Sharon's. >. Who does not have lime? Charles\n< The monkey is Jason's. The monkey is James's. The whiskey is Brian's. >. Who does not have monkey? Brian\n< The pineapple is Barbara's. The jeep is James's. The jeep is Richard's. >. Who does not have jeep? [ Barbara ]\n< The beer is Ronald's. The pear is Patricia's. The beer is Mary's. >. Who does not have beer? [ Patricia ]\n< The lime is John's. The squirrel is Kenneth's. The squirrel is Susan's. >. Who does not have squirrel? [ John ]\n< The spaghetti is Karen's. The spaghetti is Barbara's. The grenade is Lisa's. >. Who does not have spaghetti? [ Lisa ]\n< The cat is Charles's. The strawberries are Robert's. The strawberries are James's. >. Who does not have strawberries? [ Charles ]\n< The pineapple is Michelle's. The cow is Elizabeth's. The pineapple is Kimberly's. >. Who does not have pineapple? [ Elizabeth ]\n"}
{"task_id": "task13", "texts": "\n< The bread is Daniel's. The jeep is Kenneth's. The jeep is Betty's. >. Who does not have jeep? Daniel\n< The cannon is Michelle's. The cannon is Susan's. The durian is Patricia's. >. Who does not have cannon? Patricia\n< The goat is Edward's. The goat is James's. The steak is Nancy's. >. Who does not have goat? [ Nancy ]\n< The rifle is Linda's. The bee is Michelle's. The bee is William's. >. Who does not have bee? [ Linda ]\n< The lemon is Jeff's. The taxi is Helen's. The lemon is Elizabeth's. >. Who does not have lemon? [ Helen ]\n< The deer is Daniel's. The uniform is Richard's. The deer is Laura's. >. Who does not have deer? [ Richard ]\n< The guitar is Patricia's. The bread is Barbara's. The bread is Thomas's. >. Who does not have bread? [ Patricia ]\n< The lime is Michael's. The jersey is Sarah's. The lime is Margaret's. >. Who does not have lime? [ Sarah ]\n"}
{"task_id": "task13", "texts": "\n< The lime is Anthony's. The lime is Kimberly's. The shirt is Joseph's. >. Who does not possess lime? Joseph\n< The jeans are Kenneth's. The pig is Susan's. The pig is Carol's. >. Who does not possess pig? Kenneth\n< The pizza is Carol's. The uniform is Donald's. The uniform is Richard's. >. Who does not possess uniform? [ Carol ]\n< The plum is Deborah's. The rabbit is Brian's. The plum is Mark's. >. Who does not possess plum? [ Brian ]\n< The jacket is Brian's. The jacket is Donald's. The durian is Mark's. >. Who does not possess jacket? [ Mark ]\n< The goat is Lisa's. The goat is Mary's. The apricot is John's. >. Who does not possess goat? [ John ]\n< The rifle is John's. The apricot is Charles's. The apricot is Robert's. >. Who does not possess apricot? [ John ]\n< The costume is Steven's. The pizza is Sandra's. The costume is Mark's. >. Who does not possess costume? [ Sandra ]\n"}
{"task_id": "task13", "texts": "\n< The baseball is Karen's. The steak is Nancy's. The steak is Donald's. >. Who does not have steak? Karen\n< The cow is Barbara's. The plum is Ronald's. The cow is Sarah's. >. Who does not have cow? Ronald\n< The spaghetti is Anthony's. The spaghetti is Donna's. The sweater is William's. >. Who does not have spaghetti? [ William ]\n< The guitar is Joseph's. The cat is Charles's. The guitar is Dorothy's. >. Who does not have guitar? [ Charles ]\n< The vodka is Sarah's. The vodka is Kimberly's. The steak is Jennifer's. >. Who does not have vodka? [ Jennifer ]\n< The jeep is Dorothy's. The monkey is John's. The monkey is Thomas's. >. Who does not have monkey? [ Dorothy ]\n< The blackberries are Jeff's. The deer is Kenneth's. The deer is Ruth's. >. Who does not have deer? [ Jeff ]\n< The dog is Nancy's. The dog is Paul's. The beetle is Steven's. >. Who does not have dog? [ Steven ]\n"}
{"task_id": "task13", "texts": "\n< The mango is Daniel's. The motorcycle is Michelle's. The mango is Nancy's. >. Who does not own mango? Michelle\n< The shirt is Donald's. The pineapple is Karen's. The pineapple is Lisa's. >. Who does not own pineapple? Donald\n< The baseball is Nancy's. The goat is Patricia's. The goat is Jeff's. >. Who does not own goat? [ Nancy ]\n< The dog is Sharon's. The dog is Carol's. The mosquito is Michael's. >. Who does not own dog? [ Michael ]\n< The car is Patricia's. The car is Kimberly's. The beer is Deborah's. >. Who does not own car? [ Deborah ]\n< The cow is William's. The gun is Paul's. The cow is Thomas's. >. Who does not own cow? [ Paul ]\n< The grapes are Deborah's. The jersey is Thomas's. The jersey is Margaret's. >. Who does not own jersey? [ Deborah ]\n< The burger is Nancy's. The burger is Elizabeth's. The grenade is Charles's. >. Who does not own burger? [ Charles ]\n"}
{"task_id": "task13", "texts": "\n< The beer is Donald's. The football is Elizabeth's. The beer is Helen's. >. Who does not possess beer? Elizabeth\n< The hamburger is Mark's. The lime is Anthony's. The lime is Michael's. >. Who does not possess lime? Mark\n< The meat is William's. The pants are Paul's. The pants are Deborah's. >. Who does not possess pants? [ William ]\n< The apricot is John's. The revolver is Donna's. The revolver is Patricia's. >. Who does not possess revolver? [ John ]\n< The horse is Laura's. The peach is Carol's. The horse is Edward's. >. Who does not possess horse? [ Carol ]\n< The mosquito is Christopher's. The strawberries are Ronald's. The strawberries are Karen's. >. Who does not possess strawberries? [ Christopher ]\n< The tiger is Ruth's. The tiger is Sarah's. The jeep is Sharon's. >. Who does not possess tiger? [ Sharon ]\n< The soda is Paul's. The soda is Carol's. The bread is Sharon's. >. Who does not possess soda? [ Sharon ]\n"}
{"task_id": "task13", "texts": "\n< The motorcycle is Anthony's. The guitar is Mary's. The motorcycle is Edward's. >. Who does not possess motorcycle? Mary\n< The wine is Steven's. The wine is Paul's. The cannon is Helen's. >. Who does not possess wine? Helen\n< The basketball is George's. The pants are Michael's. The pants are Margaret's. >. Who does not possess pants? [ George ]\n< The shotgun is Deborah's. The guitar is James's. The guitar is Linda's. >. Who does not possess guitar? [ Deborah ]\n< The rifle is Betty's. The guitar is William's. The rifle is George's. >. Who does not possess rifle? [ William ]\n< The banana is Sharon's. The banana is Charles's. The motorcycle is Mary's. >. Who does not possess banana? [ Mary ]\n< The jersey is Edward's. The taxi is Betty's. The taxi is Linda's. >. Who does not possess taxi? [ Edward ]\n< The wine is Robert's. The durian is Betty's. The durian is Mark's. >. Who does not possess durian? [ Robert ]\n"}
{"task_id": "task13", "texts": "\n< The jersey is Robert's. The pistol is Dorothy's. The jersey is Kenneth's. >. Who does not own jersey? Dorothy\n< The beetle is Lisa's. The cow is George's. The beetle is Anthony's. >. Who does not own beetle? George\n< The goose is Barbara's. The goose is Margaret's. The juice is Brian's. >. Who does not own goose? [ Brian ]\n< The bee is Linda's. The bee is Jason's. The motorcycle is David's. >. Who does not own bee? [ David ]\n< The baseball is Paul's. The monkey is Edward's. The monkey is Brian's. >. Who does not own monkey? [ Paul ]\n< The shoes are Kevin's. The gun is John's. The gun is Kimberly's. >. Who does not own gun? [ Kevin ]\n< The trousers are Barbara's. The juice is Robert's. The juice is Elizabeth's. >. Who does not own juice? [ Barbara ]\n< The taxi is Elizabeth's. The taxi is Karen's. The monkey is Kevin's. >. Who does not own taxi? [ Kevin ]\n"}
{"task_id": "task13", "texts": "\n< The orange is Michael's. The gorilla is Jason's. The orange is Karen's. >. Who does not own orange? Jason\n< The cat is George's. The baseball is Sandra's. The baseball is Michael's. >. Who does not own baseball? George\n< The tea is Donald's. The tea is Kevin's. The lion is Sandra's. >. Who does not own tea? [ Sandra ]\n< The gun is John's. The cat is Mary's. The cat is Robert's. >. Who does not own cat? [ John ]\n< The rabbit is Deborah's. The rabbit is Mark's. The blueberries are Sandra's. >. Who does not own rabbit? [ Sandra ]\n< The cake is Richard's. The cannon is Nancy's. The cake is David's. >. Who does not own cake? [ Nancy ]\n< The jeans are Lisa's. The baseball is James's. The jeans are Mary's. >. Who does not own jeans? [ James ]\n< The basketball is Nancy's. The basketball is Edward's. The juice is Mark's. >. Who does not own basketball? [ Mark ]\n"}
{"task_id": "task13", "texts": "\n< The football is Thomas's. The football is Kenneth's. The kiwi is John's. >. Who does not have football? John\n< The soda is Jeff's. The gorilla is Jennifer's. The soda is Karen's. >. Who does not have soda? Jennifer\n< The bus is Michelle's. The bus is Thomas's. The apple is Kenneth's. >. Who does not have bus? [ Kenneth ]\n< The whiskey is Nancy's. The fox is Jennifer's. The fox is Kimberly's. >. Who does not have fox? [ Nancy ]\n< The apple is David's. The pistol is Jason's. The pistol is George's. >. Who does not have pistol? [ David ]\n< The apple is Karen's. The pants are Linda's. The apple is Daniel's. >. Who does not have apple? [ Linda ]\n< The steak is Christopher's. The jacket is Richard's. The steak is William's. >. Who does not have steak? [ Richard ]\n< The steak is Elizabeth's. The wolf is Helen's. The steak is Sarah's. >. Who does not have steak? [ Helen ]\n"}
{"task_id": "task13", "texts": "\n< The jeans are Susan's. The jeans are Edward's. The bee is Elizabeth's. >. Who does not have jeans? Elizabeth\n< The steak is Kimberly's. The sheep are Michael's. The sheep are Anthony's. >. Who does not have sheep? Kimberly\n< The gorilla is Mark's. The pistol is Michelle's. The pistol is Mary's. >. Who does not have pistol? [ Mark ]\n< The baseball is John's. The baseball is Helen's. The soda is William's. >. Who does not have baseball? [ William ]\n< The peach is Donald's. The shirt is Mark's. The peach is Jason's. >. Who does not have peach? [ Mark ]\n< The donkey is Michelle's. The strawberries are David's. The donkey is Charles's. >. Who does not have donkey? [ David ]\n< The baseball is Betty's. The baseball is John's. The deer is Robert's. >. Who does not have baseball? [ Robert ]\n< The uniform is Helen's. The apple is Barbara's. The uniform is Elizabeth's. >. Who does not have uniform? [ Barbara ]\n"}
{"task_id": "task14", "texts": "\n< Jeff has shoes. Laura has a baseball. Joseph has pizza. >. Who possesses shoes? Jeff\n< Michelle has a jersey. Helen has an elephant. Joseph has a pineapple. >. Who possesses jersey? Michelle\n< David has soda. Carol has a sweater. Maria has a squirrel. >. Who possesses sweater? [ Carol ]\n< Ronald has sheep. Ruth has a pig. Anthony has a motorcycle. >. Who possesses sheep? [ Ronald ]\n< Michael has bread. Donna has a peach. Daniel has a lime. >. Who possesses peach? [ Donna ]\n< Kevin has jeans. Ronald has a plum. Elizabeth has T-shirt. >. Who possesses T-shirt? [ Elizabeth ]\n< Michael has a papaya. Lisa has a peach. Paul has a jeep. >. Who possesses papaya? [ Michael ]\n< Helen has meat. Donald has a shotgun. George has whiskey. >. Who possesses whiskey? [ George ]\n"}
{"task_id": "task14", "texts": "\n< Susan has a duck. Dorothy has beer. Robert has a papaya. >. Who possesses papaya? Robert\n< Jason has a cow. Lisa has a baseball. Christopher has a car. >. Who possesses baseball? Lisa\n< Michael has a uniform. Robert has a rabbit. Sarah has a basketball. >. Who possesses basketball? [ Sarah ]\n< Christopher has blackberries. Jeff has a football. Kimberly has coffee. >. Who possesses coffee? [ Kimberly ]\n< Mary has wine. Mark has a lemon. Ronald has a plum. >. Who possesses wine? [ Mary ]\n< Karen has a football. Christopher has a lion. Richard has an elephant. >. Who possesses football? [ Karen ]\n< Laura has a shirt. Christopher has cake. James has a cocktail. >. Who possesses cake? [ Christopher ]\n< Nancy has a uniform. Ruth has trousers. Jennifer has a lime. >. Who possesses uniform? [ Nancy ]\n"}
{"task_id": "task14", "texts": "\n< Kevin has a kiwi. Nancy has a car. Sandra has pizza. >. Who possesses kiwi? Kevin\n< Betty has shoes. Karen has an apple. John has a deer. >. Who possesses apple? Karen\n< Mary has coffee. William has a horse. Deborah has a cocktail. >. Who possesses horse? [ William ]\n< Betty has a jeep. Christopher has a horse. Margaret has a shotgun. >. Who possesses shotgun? [ Margaret ]\n< Michelle has a mango. Elizabeth has a deer. Susan has trousers. >. Who possesses trousers? [ Susan ]\n< Mary has a rabbit. Susan has a mouse. Dorothy has T-shirt. >. Who possesses mouse? [ Susan ]\n< Jeff has a jacket. Ruth has a baseball. Donald has a rabbit. >. Who possesses rabbit? [ Donald ]\n< Lisa has a pistol. Laura has vodka. Helen has cake. >. Who possesses pistol? [ Lisa ]\n"}
{"task_id": "task14", "texts": "\n< David has a papaya. Paul has a shotgun. Thomas has blackberries. >. Who possesses papaya? David\n< John has a jacket. Donna has beer. Michael has a violin. >. Who possesses beer? Donna\n< John has a baseball. Michael has a jersey. Jennifer has a pistol. >. Who possesses baseball? [ John ]\n< Mark has pizza. Jason has a bus. Kimberly has a shotgun. >. Who possesses shotgun? [ Kimberly ]\n< Helen has a piano. Edward has a car. Steven has a lime. >. Who possesses lime? [ Steven ]\n< Mark has a lemon. George has a banana. Susan has an apricot. >. Who possesses lemon? [ Mark ]\n< Charles has a shirt. George has a pineapple. Sandra has a rabbit. >. Who possesses rabbit? [ Sandra ]\n< John has a tiger. Anthony has a burger. Joseph has a shirt. >. Who possesses burger? [ Anthony ]\n"}
{"task_id": "task14", "texts": "\n< Maria has a motorcycle. Anthony has a handgun. Ronald has a baseball. >. Who owns handgun? Anthony\n< John has a shotgun. George has whiskey. Jason has an apricot. >. Who owns whiskey? George\n< Daniel has tea. Donald has pants. George has spaghetti. >. Who owns spaghetti? [ George ]\n< Brian has a violin. Mary has a steak. Lisa has a beetle. >. Who owns violin? [ Brian ]\n< Joseph has a goat. John has a taxi. Donald has a rabbit. >. Who owns goat? [ Joseph ]\n< Ruth has a taxi. Betty has a lime. Kenneth has a deer. >. Who owns deer? [ Kenneth ]\n< Anthony has a peach. Kevin has an apricot. Ronald has wine. >. Who owns apricot? [ Kevin ]\n< Barbara has a deer. Elizabeth has trousers. Robert has a costume. >. Who owns costume? [ Robert ]\n"}
{"task_id": "task14", "texts": "\n< Paul has spaghetti. Karen has a mango. Kimberly has a car. >. Who owns spaghetti? Paul\n< Susan has cherries. George has a grenade. Jeff has a mouse. >. Who owns grenade? George\n< Brian has a mosquito. Michelle has a gun. John has a mouse. >. Who owns mouse? [ John ]\n< Thomas has a mango. Richard has a cocktail. Kevin has a grenade. >. Who owns grenade? [ Kevin ]\n< David has a fox. John has a violin. Sarah has a watermelon. >. Who owns watermelon? [ Sarah ]\n< Barbara has an apricot. Margaret has blackberries. Michael has an elephant. >. Who owns elephant? [ Michael ]\n< Edward has jeans. James has a sweater. Barbara has a cannon. >. Who owns jeans? [ Edward ]\n< Margaret has soda. Jeff has a pear. Christopher has a bee. >. Who owns pear? [ Jeff ]\n"}
{"task_id": "task14", "texts": "\n< Kimberly has an apricot. Margaret has meat. Linda has a gorilla. >. Who owns gorilla? Linda\n< Paul has a lime. Mary has a beetle. Anthony has a jersey. >. Who owns jersey? Anthony\n< Michael has sheep. Linda has a violin. Jeff has a handgun. >. Who owns violin? [ Linda ]\n< Kimberly has a pig. Sarah has a car. Mark has spaghetti. >. Who owns spaghetti? [ Mark ]\n< Sharon has coffee. Paul has a rifle. Deborah has a kiwi. >. Who owns rifle? [ Paul ]\n< Joseph has tea. Michelle has a hamburger. Jason has a bus. >. Who owns hamburger? [ Michelle ]\n< Christopher has a shotgun. Sharon has an orange. Robert has soda. >. Who owns shotgun? [ Christopher ]\n< Susan has a pineapple. Linda has beer. Maria has cherries. >. Who owns pineapple? [ Susan ]\n"}
{"task_id": "task14", "texts": "\n< Deborah has a pear. Ronald has a car. James has a jeep. >. Who possesses car? Ronald\n< George has a goat. Ruth has a goose. Nancy has a plum. >. Who possesses goat? George\n< Charles has a bee. Richard has a watermelon. Nancy has a goose. >. Who possesses goose? [ Nancy ]\n< Karen has a durian. Brian has trousers. Patricia has whiskey. >. Who possesses trousers? [ Brian ]\n< Margaret has a burger. George has a pig. Linda has underwear. >. Who possesses underwear? [ Linda ]\n< Edward has a motorcycle. Steven has cake. Christopher has a monkey. >. Who possesses cake? [ Steven ]\n< Ronald has a banana. Charles has a dog. Karen has a peach. >. Who possesses banana? [ Ronald ]\n< Ronald has a cat. Richard has a cocktail. Michael has a piano. >. Who possesses cocktail? [ Richard ]\n"}
{"task_id": "task14", "texts": "\n< Steven has a violin. Brian has pants. Karen has an apple. >. Who has violin? Steven\n< George has a mosquito. Mark has a basketball. Sharon has a pineapple. >. Who has pineapple? Sharon\n< Margaret has blackberries. Lisa has a football. Anthony has a guitar. >. Who has guitar? [ Anthony ]\n< John has soda. Helen has a piano. William has a burger. >. Who has burger? [ William ]\n< Karen has a grenade. Edward has a peach. Susan has a plum. >. Who has peach? [ Edward ]\n< Patricia has a sweater. Robert has a donkey. James has a handgun. >. Who has donkey? [ Robert ]\n< Joseph has underwear. Ruth has a papaya. Jeff has a mouse. >. Who has underwear? [ Joseph ]\n< James has a piano. Maria has pizza. John has underwear. >. Who has piano? [ James ]\n"}
{"task_id": "task14", "texts": "\n< William has a mango. Richard has a tiger. Dorothy has a deer. >. Who owns deer? Dorothy\n< Sandra has a fox. Helen has a goat. Steven has a bee. >. Who owns fox? Sandra\n< William has a monkey. Donald has a peach. Kenneth has a fox. >. Who owns peach? [ Donald ]\n< Mary has a lion. Sharon has a piano. Donna has blackberries. >. Who owns blackberries? [ Donna ]\n< Kenneth has a mango. Brian has a cocktail. Mary has a grenade. >. Who owns cocktail? [ Brian ]\n< Joseph has a shotgun. Christopher has a dog. George has jeans. >. Who owns shotgun? [ Joseph ]\n< John has pizza. Richard has a cat. Donna has a jersey. >. Who owns pizza? [ John ]\n< Richard has an apricot. George has a hamburger. Sandra has a violin. >. Who owns hamburger? [ George ]\n"}
{"task_id": "task14", "texts": "\n< Ronald has a gun. Ruth has a monkey. Sandra has T-shirt. >. Who owns gun? Ronald\n< Ronald has a violin. Paul has coffee. Mark has a lime. >. Who owns lime? Mark\n< Sandra has tea. Laura has an apple. Steven has a shotgun. >. Who owns apple? [ Laura ]\n< Dorothy has an apricot. William has a pig. John has a baseball. >. Who owns pig? [ William ]\n< Richard has strawberries. Patricia has a banana. Sandra has a football. >. Who owns football? [ Sandra ]\n< Karen has a fox. Joseph has an orange. Ruth has sheep. >. Who owns sheep? [ Ruth ]\n< Charles has a pig. Christopher has a jersey. Ronald has a deer. >. Who owns jersey? [ Christopher ]\n< Mark has juice. Michelle has a banana. Anthony has whiskey. >. Who owns juice? [ Mark ]\n"}
{"task_id": "task14", "texts": "\n< Jeff has a cocktail. Maria has pizza. Linda has cherries. >. Who possesses cocktail? Jeff\n< Ronald has a pear. Maria has a lion. David has a cocktail. >. Who possesses cocktail? David\n< Susan has blackberries. Donald has a papaya. Charles has a car. >. Who possesses blackberries? [ Susan ]\n< Laura has a lion. Susan has a piano. Maria has T-shirt. >. Who possesses piano? [ Susan ]\n< Thomas has pants. Donna has a pig. James has a mango. >. Who possesses pig? [ Donna ]\n< Donna has tea. Brian has a gorilla. Ronald has a dog. >. Who possesses tea? [ Donna ]\n< Charles has tea. Ruth has a steak. Michael has a mouse. >. Who possesses tea? [ Charles ]\n< Michael has a violin. Barbara has a duck. Charles has a deer. >. Who possesses deer? [ Charles ]\n"}
{"task_id": "task15", "texts": "\n< The shoes are Jeff's. The baseball is Laura's. The pizza is Joseph's. >. Who possesses shoes? Jeff\n< The jersey is Michelle's. The elephant is Helen's. The pineapple is Joseph's. >. Who possesses jersey? Michelle\n< The soda is David's. The sweater is Carol's. The squirrel is Maria's. >. Who possesses sweater? [ Carol ]\n< The sheep are Ronald's. The pig is Ruth's. The motorcycle is Anthony's. >. Who possesses sheep? [ Ronald ]\n< The bread is Michael's. The peach is Donna's. The lime is Daniel's. >. Who possesses peach? [ Donna ]\n< The jeans are Kevin's. The plum is Ronald's. T-shirt is Elizabeth's. >. Who possesses T-shirt? [ Elizabeth ]\n< The papaya is Michael's. The peach is Lisa's. The jeep is Paul's. >. Who possesses papaya? [ Michael ]\n< The meat is Helen's. The shotgun is Donald's. The whiskey is George's. >. Who possesses whiskey? [ George ]\n"}
{"task_id": "task15", "texts": "\n< The duck is Susan's. The beer is Dorothy's. The papaya is Robert's. >. Who possesses papaya? Robert\n< The cow is Jason's. The baseball is Lisa's. The car is Christopher's. >. Who possesses baseball? Lisa\n< The uniform is Michael's. The rabbit is Robert's. The basketball is Sarah's. >. Who possesses basketball? [ Sarah ]\n< The blackberries are Christopher's. The football is Jeff's. The coffee is Kimberly's. >. Who possesses coffee? [ Kimberly ]\n< The wine is Mary's. The lemon is Mark's. The plum is Ronald's. >. Who possesses wine? [ Mary ]\n< The football is Karen's. The lion is Christopher's. The elephant is Richard's. >. Who possesses football? [ Karen ]\n< The shirt is Laura's. The cake is Christopher's. The cocktail is James's. >. Who possesses cake? [ Christopher ]\n< The uniform is Nancy's. The trousers are Ruth's. The lime is Jennifer's. >. Who possesses uniform? [ Nancy ]\n"}
{"task_id": "task15", "texts": "\n< The kiwi is Kevin's. The car is Nancy's. The pizza is Sandra's. >. Who possesses kiwi? Kevin\n< The shoes are Betty's. The apple is Karen's. The deer is John's. >. Who possesses apple? Karen\n< The coffee is Mary's. The horse is William's. The cocktail is Deborah's. >. Who possesses horse? [ William ]\n< The jeep is Betty's. The horse is Christopher's. The shotgun is Margaret's. >. Who possesses shotgun? [ Margaret ]\n< The mango is Michelle's. The deer is Elizabeth's. The trousers are Susan's. >. Who possesses trousers? [ Susan ]\n< The rabbit is Mary's. The mouse is Susan's. T-shirt is Dorothy's. >. Who possesses mouse? [ Susan ]\n< The jacket is Jeff's. The baseball is Ruth's. The rabbit is Donald's. >. Who possesses rabbit? [ Donald ]\n< The pistol is Lisa's. The vodka is Laura's. The cake is Helen's. >. Who possesses pistol? [ Lisa ]\n"}
{"task_id": "task15", "texts": "\n< The papaya is David's. The shotgun is Paul's. The blackberries are Thomas's. >. Who possesses papaya? David\n< The jacket is John's. The beer is Donna's. The violin is Michael's. >. Who possesses beer? Donna\n< The baseball is John's. The jersey is Michael's. The pistol is Jennifer's. >. Who possesses baseball? [ John ]\n< The pizza is Mark's. The bus is Jason's. The shotgun is Kimberly's. >. Who possesses shotgun? [ Kimberly ]\n< The piano is Helen's. The car is Edward's. The lime is Steven's. >. Who possesses lime? [ Steven ]\n< The lemon is Mark's. The banana is George's. The apricot is Susan's. >. Who possesses lemon? [ Mark ]\n< The shirt is Charles's. The pineapple is George's. The rabbit is Sandra's. >. Who possesses rabbit? [ Sandra ]\n< The tiger is John's. The burger is Anthony's. The shirt is Joseph's. >. Who possesses burger? [ Anthony ]\n"}
{"task_id": "task15", "texts": "\n< The motorcycle is Maria's. The handgun is Anthony's. The baseball is Ronald's. >. Who owns handgun? Anthony\n< The shotgun is John's. The whiskey is George's. The apricot is Jason's. >. Who owns whiskey? George\n< The tea is Daniel's. The pants are Donald's. The spaghetti is George's. >. Who owns spaghetti? [ George ]\n< The violin is Brian's. The steak is Mary's. The beetle is Lisa's. >. Who owns violin? [ Brian ]\n< The goat is Joseph's. The taxi is John's. The rabbit is Donald's. >. Who owns goat? [ Joseph ]\n< The taxi is Ruth's. The lime is Betty's. The deer is Kenneth's. >. Who owns deer? [ Kenneth ]\n< The peach is Anthony's. The apricot is Kevin's. The wine is Ronald's. >. Who owns apricot? [ Kevin ]\n< The deer is Barbara's. The trousers are Elizabeth's. The costume is Robert's. >. Who owns costume? [ Robert ]\n"}
{"task_id": "task15", "texts": "\n< The spaghetti is Paul's. The mango is Karen's. The car is Kimberly's. >. Who owns spaghetti? Paul\n< The cherries are Susan's. The grenade is George's. The mouse is Jeff's. >. Who owns grenade? George\n< The mosquito is Brian's. The gun is Michelle's. The mouse is John's. >. Who owns mouse? [ John ]\n< The mango is Thomas's. The cocktail is Richard's. The grenade is Kevin's. >. Who owns grenade? [ Kevin ]\n< The fox is David's. The violin is John's. The watermelon is Sarah's. >. Who owns watermelon? [ Sarah ]\n< The apricot is Barbara's. The blackberries are Margaret's. The elephant is Michael's. >. Who owns elephant? [ Michael ]\n< The jeans are Edward's. The sweater is James's. The cannon is Barbara's. >. Who owns jeans? [ Edward ]\n< The soda is Margaret's. The pear is Jeff's. The bee is Christopher's. >. Who owns pear? [ Jeff ]\n"}
{"task_id": "task15", "texts": "\n< The apricot is Kimberly's. The meat is Margaret's. The gorilla is Linda's. >. Who owns gorilla? Linda\n< The lime is Paul's. The beetle is Mary's. The jersey is Anthony's. >. Who owns jersey? Anthony\n< The sheep are Michael's. The violin is Linda's. The handgun is Jeff's. >. Who owns violin? [ Linda ]\n< The pig is Kimberly's. The car is Sarah's. The spaghetti is Mark's. >. Who owns spaghetti? [ Mark ]\n< The coffee is Sharon's. The rifle is Paul's. The kiwi is Deborah's. >. Who owns rifle? [ Paul ]\n< The tea is Joseph's. The hamburger is Michelle's. The bus is Jason's. >. Who owns hamburger? [ Michelle ]\n< The shotgun is Christopher's. The orange is Sharon's. The soda is Robert's. >. Who owns shotgun? [ Christopher ]\n< The pineapple is Susan's. The beer is Linda's. The cherries are Maria's. >. Who owns pineapple? [ Susan ]\n"}
{"task_id": "task15", "texts": "\n< The pear is Deborah's. The car is Ronald's. The jeep is James's. >. Who possesses car? Ronald\n< The goat is George's. The goose is Ruth's. The plum is Nancy's. >. Who possesses goat? George\n< The bee is Charles's. The watermelon is Richard's. The goose is Nancy's. >. Who possesses goose? [ Nancy ]\n< The durian is Karen's. The trousers are Brian's. The whiskey is Patricia's. >. Who possesses trousers? [ Brian ]\n< The burger is Margaret's. The pig is George's. The underwear is Linda's. >. Who possesses underwear? [ Linda ]\n< The motorcycle is Edward's. The cake is Steven's. The monkey is Christopher's. >. Who possesses cake? [ Steven ]\n< The banana is Ronald's. The dog is Charles's. The peach is Karen's. >. Who possesses banana? [ Ronald ]\n< The cat is Ronald's. The cocktail is Richard's. The piano is Michael's. >. Who possesses cocktail? [ Richard ]\n"}
{"task_id": "task15", "texts": "\n< The violin is Steven's. The pants are Brian's. The apple is Karen's. >. Who has violin? Steven\n< The mosquito is George's. The basketball is Mark's. The pineapple is Sharon's. >. Who has pineapple? Sharon\n< The blackberries are Margaret's. The football is Lisa's. The guitar is Anthony's. >. Who has guitar? [ Anthony ]\n< The soda is John's. The piano is Helen's. The burger is William's. >. Who has burger? [ William ]\n< The grenade is Karen's. The peach is Edward's. The plum is Susan's. >. Who has peach? [ Edward ]\n< The sweater is Patricia's. The donkey is Robert's. The handgun is James's. >. Who has donkey? [ Robert ]\n< The underwear is Joseph's. The papaya is Ruth's. The mouse is Jeff's. >. Who has underwear? [ Joseph ]\n< The piano is James's. The pizza is Maria's. The underwear is John's. >. Who has piano? [ James ]\n"}
{"task_id": "task15", "texts": "\n< The mango is William's. The tiger is Richard's. The deer is Dorothy's. >. Who owns deer? Dorothy\n< The fox is Sandra's. The goat is Helen's. The bee is Steven's. >. Who owns fox? Sandra\n< The monkey is William's. The peach is Donald's. The fox is Kenneth's. >. Who owns peach? [ Donald ]\n< The lion is Mary's. The piano is Sharon's. The blackberries are Donna's. >. Who owns blackberries? [ Donna ]\n< The mango is Kenneth's. The cocktail is Brian's. The grenade is Mary's. >. Who owns cocktail? [ Brian ]\n< The shotgun is Joseph's. The dog is Christopher's. The jeans are George's. >. Who owns shotgun? [ Joseph ]\n< The pizza is John's. The cat is Richard's. The jersey is Donna's. >. Who owns pizza? [ John ]\n< The apricot is Richard's. The hamburger is George's. The violin is Sandra's. >. Who owns hamburger? [ George ]\n"}
{"task_id": "task15", "texts": "\n< The gun is Ronald's. The monkey is Ruth's. T-shirt is Sandra's. >. Who owns gun? Ronald\n< The violin is Ronald's. The coffee is Paul's. The lime is Mark's. >. Who owns lime? Mark\n< The tea is Sandra's. The apple is Laura's. The shotgun is Steven's. >. Who owns apple? [ Laura ]\n< The apricot is Dorothy's. The pig is William's. The baseball is John's. >. Who owns pig? [ William ]\n< The strawberries are Richard's. The banana is Patricia's. The football is Sandra's. >. Who owns football? [ Sandra ]\n< The fox is Karen's. The orange is Joseph's. The sheep are Ruth's. >. Who owns sheep? [ Ruth ]\n< The pig is Charles's. The jersey is Christopher's. The deer is Ronald's. >. Who owns jersey? [ Christopher ]\n< The juice is Mark's. The banana is Michelle's. The whiskey is Anthony's. >. Who owns juice? [ Mark ]\n"}
{"task_id": "task15", "texts": "\n< The cocktail is Jeff's. The pizza is Maria's. The cherries are Linda's. >. Who possesses cocktail? Jeff\n< The pear is Ronald's. The lion is Maria's. The cocktail is David's. >. Who possesses cocktail? David\n< The blackberries are Susan's. The papaya is Donald's. The car is Charles's. >. Who possesses blackberries? [ Susan ]\n< The lion is Laura's. The piano is Susan's. T-shirt is Maria's. >. Who possesses piano? [ Susan ]\n< The pants are Thomas's. The pig is Donna's. The mango is James's. >. Who possesses pig? [ Donna ]\n< The tea is Donna's. The gorilla is Brian's. The dog is Ronald's. >. Who possesses tea? [ Donna ]\n< The tea is Charles's. The steak is Ruth's. The mouse is Michael's. >. Who possesses tea? [ Charles ]\n< The violin is Michael's. The duck is Barbara's. The deer is Charles's. >. Who possesses deer? [ Charles ]\n"}
{"task_id": "task16", "texts": "\n< Elizabeth likes Seoul. Steven likes Sydney. Steven likes Birmingham. >. Steven does not want to go to the city in South Korea\n< Karen likes Bras\u00edlia. Karen likes Kyoto. Paul likes Vancouver. >. Karen does not want to go to the city in Canada\n< Ruth likes Chiang Mai. Steven likes Mumbai. Ruth likes Barcelona. >. Ruth does not want to go to the city in [ India ]\n< Ruth likes Munich. Ruth likes Paris. Mark likes Bern. >. Ruth does not want to go to the city in [ Switzerland ]\n< Nancy likes Seoul. Jeff likes Los Angeles. Nancy likes Milan. >. Nancy does not want to go to the city in [ the United States ]\n< Laura likes Shanghai. Laura likes Manchester. Jeff likes Zurich. >. Laura does not want to go to the city in [ Switzerland ]\n< Michael likes Bras\u00edlia. Ruth likes Moscow. Michael likes Birmingham. >. Michael does not want to go to the city in [ Russia ]\n< Margaret likes Lyon. Joseph likes Saint Petersburg. Joseph likes Ottawa. >. Joseph does not want to go to the city in [ France ]\n"}
{"task_id": "task16", "texts": "\n< Christopher likes New Delhi. Carol likes Canberra. Carol likes Rio de Janeiro. >. Carol does not want to go to the city in India\n< Maria likes Bern. Joseph likes Berlin. Joseph likes Sydney. >. Joseph does not want to go to the city in Switzerland\n< Sharon likes Sydney. Christopher likes Washington, D.C. Sharon likes New Delhi. >. Sharon does not want to go to the city in [ the United States ]\n< Michael likes Novosibirsk. Susan likes Incheon. Michael likes Marseille. >. Michael does not want to go to the city in [ South Korea ]\n< Kenneth likes Chiang Mai. Kenneth likes Rome. Donna likes Toronto. >. Kenneth does not want to go to the city in [ Canada ]\n< Nancy likes Lyon. Michael likes Birmingham. Nancy likes Valencia. >. Nancy does not want to go to the city in [ the United Kingdom ]\n< Barbara likes Novosibirsk. Barbara likes Munich. Kenneth likes Incheon. >. Barbara does not want to go to the city in [ South Korea ]\n< Laura likes Guangzhou. Laura likes Birmingham. David likes Toronto. >. Laura does not want to go to the city in [ Canada ]\n"}
{"task_id": "task16", "texts": "\n< Ruth likes Rome. Ronald likes Marseille. Ronald likes Novosibirsk. >. Ronald does not want to go to the city in Italy\n< Charles likes Bern. Betty likes Bras\u00edlia. Betty likes Hamburg. >. Betty does not want to go to the city in Switzerland\n< Ronald likes Munich. Elizabeth likes New Delhi. Elizabeth likes Geneva. >. Elizabeth does not want to go to the city in [ German ]\n< William likes Rio de Janeiro. William likes Barcelona. Nancy likes Seoul. >. William does not want to go to the city in [ South Korea ]\n< William likes Rome. Patricia likes Sao Paulo. William likes Brisbane. >. William does not want to go to the city in [ Brazil ]\n< John likes Busan. Nancy likes Novosibirsk. John likes Canberra. >. John does not want to go to the city in [ Russia ]\n< Laura likes Florence. John likes Moscow. John likes Chiang Mai. >. John does not want to go to the city in [ Italy ]\n< Lisa likes Barcelona. Lisa likes Brisbane. Brian likes Rio de Janeiro. >. Lisa does not want to go to the city in [ Brazil ]\n"}
{"task_id": "task16", "texts": "\n< Joseph likes New Delhi. Elizabeth likes Marseille. Joseph likes Manchester. >. Joseph does not want to visit the city in France\n< Jennifer likes Barcelona. Ronald likes Zurich. Ronald likes Manchester. >. Ronald does not want to visit the city in Spain\n< Sandra likes Lyon. Sandra likes Mumbai. Christopher likes Pattaya. >. Sandra does not want to visit the city in [ Thailand ]\n< Ruth likes Los Angeles. Edward likes Munich. Ruth likes Guangzhou. >. Ruth does not want to visit the city in [ German ]\n< Karen likes Berlin. Steven likes Manchester. Karen likes Barcelona. >. Karen does not want to visit the city in [ the United Kingdom ]\n< Robert likes Berlin. Robert likes Pattaya. Linda likes Saint Petersburg. >. Robert does not want to visit the city in [ Russia ]\n< Joseph likes Zurich. Joseph likes New Delhi. Linda likes Guangzhou. >. Joseph does not want to visit the city in [ China ]\n< Jeff likes Seoul. Sarah likes Brisbane. Sarah likes Toronto. >. Sarah does not want to visit the city in [ South Korea ]\n"}
{"task_id": "task16", "texts": "\n< Donna likes Paris. Donna likes Rome. Joseph likes Hamburg. >. Donna does not want to go to the city in German\n< Sharon likes Kyoto. Daniel likes Bangalore. Sharon likes Florence. >. Sharon does not want to go to the city in India\n< Michelle likes Venice. Charles likes Munich. Michelle likes Seoul. >. Michelle does not want to go to the city in [ German ]\n< James likes Geneva. Patricia likes Vancouver. Patricia likes Busan. >. Patricia does not want to go to the city in [ Switzerland ]\n< Margaret likes Milan. Margaret likes Bras\u00edlia. Steven likes Tokyo. >. Margaret does not want to go to the city in [ Japan ]\n< Sarah likes Pattaya. Jeff likes Washington, D.C. Jeff likes Hamburg. >. Jeff does not want to go to the city in [ Thailand ]\n< Jennifer likes Marseille. Mark likes Bern. Mark likes Canberra. >. Mark does not want to go to the city in [ France ]\n< Laura likes Ottawa. William likes Mumbai. Laura likes Manchester. >. Laura does not want to go to the city in [ India ]\n"}
{"task_id": "task16", "texts": "\n< Ronald likes Florence. Lisa likes Bangkok. Ronald likes Birmingham. >. Ronald does not long for the city in Thailand\n< Jennifer likes Tokyo. Jennifer likes Paris. Charles likes Pattaya. >. Jennifer does not long for the city in Thailand\n< Anthony likes Mumbai. Dorothy likes New York. Anthony likes Hamburg. >. Anthony does not long for the city in [ the United States ]\n< Lisa likes Saint Petersburg. Lisa likes Incheon. Mark likes Guangzhou. >. Lisa does not long for the city in [ China ]\n< Kimberly likes Los Angeles. Kimberly likes Washington, D.C. Jeff likes Bras\u00edlia. >. Kimberly does not long for the city in [ Brazil ]\n< Sharon likes Mumbai. John likes Rome. John likes Barcelona. >. John does not long for the city in [ India ]\n< Edward likes Tokyo. Deborah likes Pattaya. Deborah likes Toronto. >. Deborah does not long for the city in [ Japan ]\n< Betty likes Toronto. Steven likes Busan. Betty likes Brisbane. >. Betty does not long for the city in [ South Korea ]\n"}
{"task_id": "task16", "texts": "\n< Mary likes Birmingham. Jason likes Marseille. Mary likes Toronto. >. Mary does not want to go to the city in France\n< James likes New Delhi. James likes Munich. Barbara likes Canberra. >. James does not want to go to the city in Australia\n< David likes Seoul. Helen likes Lyon. Helen likes Rio de Janeiro. >. Helen does not want to go to the city in [ South Korea ]\n< Edward likes Barcelona. Sandra likes Bern. Edward likes Pattaya. >. Edward does not want to go to the city in [ Switzerland ]\n< Michael likes Milan. Michael likes Venice. Carol likes Manchester. >. Michael does not want to go to the city in [ the United Kingdom ]\n< Nancy likes Berlin. Nancy likes Busan. William likes Marseille. >. Nancy does not want to go to the city in [ France ]\n< Maria likes Vancouver. Joseph likes Osaka. Joseph likes Los Angeles. >. Joseph does not want to go to the city in [ Canada ]\n< Edward likes Geneva. Ruth likes Washington, D.C. Ruth likes Lyon. >. Ruth does not want to go to the city in [ Switzerland ]\n"}
{"task_id": "task16", "texts": "\n< Laura likes Tokyo. Ronald likes Hamburg. Ronald likes Rome. >. Ronald does not long for the city in Japan\n< Edward likes Osaka. Michelle likes Bangalore. Michelle likes Busan. >. Michelle does not long for the city in Japan\n< Nancy likes Kyoto. Nancy likes Novosibirsk. Ronald likes New York. >. Nancy does not long for the city in [ the United States ]\n< Sandra likes Rome. Joseph likes Sydney. Sandra likes Hamburg. >. Sandra does not long for the city in [ Australia ]\n< Barbara likes Moscow. William likes Bern. Barbara likes Mumbai. >. Barbara does not long for the city in [ Switzerland ]\n< Thomas likes Milan. Lisa likes Toronto. Thomas likes Busan. >. Thomas does not long for the city in [ Canada ]\n< Betty likes Bern. Jason likes Incheon. Jason likes Saint Petersburg. >. Jason does not long for the city in [ Switzerland ]\n< David likes Bras\u00edlia. David likes Ottawa. Susan likes Marseille. >. David does not long for the city in [ France ]\n"}
{"task_id": "task16", "texts": "\n< Nancy likes Madrid. Paul likes Paris. Paul likes Marseille. >. Paul does not long for the city in Spain\n< Donald likes Moscow. Betty likes Madrid. Donald likes Bangalore. >. Donald does not long for the city in Spain\n< Edward likes Bern. Edward likes Busan. Jennifer likes Manchester. >. Edward does not long for the city in [ the United Kingdom ]\n< Laura likes London. Laura likes Pattaya. Kenneth likes Berlin. >. Laura does not long for the city in [ German ]\n< Barbara likes Novosibirsk. Barbara likes Valencia. Daniel likes Chiang Mai. >. Barbara does not long for the city in [ Thailand ]\n< Jennifer likes Florence. William likes Marseille. Jennifer likes Rome. >. Jennifer does not long for the city in [ France ]\n< Laura likes Guangzhou. Laura likes Los Angeles. Brian likes Sydney. >. Laura does not long for the city in [ Australia ]\n< Mary likes New York. Christopher likes Rome. Christopher likes Zurich. >. Christopher does not long for the city in [ the United States ]\n"}
{"task_id": "task16", "texts": "\n< Helen likes Ottawa. Ronald likes Chiang Mai. Helen likes Washington, D.C. >. Helen does not want to go to the city in Thailand\n< Maria likes Busan. Maria likes Bras\u00edlia. Mark likes Zurich. >. Maria does not want to go to the city in Switzerland\n< Robert likes Bras\u00edlia. Robert likes Chiang Mai. Michelle likes Moscow. >. Robert does not want to go to the city in [ Russia ]\n< Sharon likes Beijing. James likes Rome. Sharon likes Washington, D.C. >. Sharon does not want to go to the city in [ Italy ]\n< Sarah likes Bern. Sarah likes Shanghai. William likes Novosibirsk. >. Sarah does not want to go to the city in [ Russia ]\n< Donna likes Sao Paulo. Donna likes Saint Petersburg. Brian likes Madrid. >. Donna does not want to go to the city in [ Spain ]\n< Ronald likes Hamburg. Donna likes Madrid. Donna likes Brisbane. >. Donna does not want to go to the city in [ German ]\n< Daniel likes Valencia. Susan likes Busan. Susan likes Kyoto. >. Susan does not want to go to the city in [ Spain ]\n"}
{"task_id": "task16", "texts": "\n< Kimberly likes Rome. Kimberly likes Rio de Janeiro. John likes Pattaya. >. Kimberly does not want to go to the city in Thailand\n< Kimberly likes Lyon. Edward likes Tokyo. Kimberly likes Moscow. >. Kimberly does not want to go to the city in Japan\n< Ruth likes New Delhi. Steven likes Marseille. Steven likes New York. >. Steven does not want to go to the city in [ India ]\n< Jeff likes Berlin. Jeff likes Tokyo. Deborah likes Birmingham. >. Jeff does not want to go to the city in [ the United Kingdom ]\n< Thomas likes Seoul. Kimberly likes Mumbai. Thomas likes Shanghai. >. Thomas does not want to go to the city in [ India ]\n< Betty likes Brisbane. Donald likes Bangkok. Donald likes Incheon. >. Donald does not want to go to the city in [ Australia ]\n< Helen likes Berlin. Michael likes Novosibirsk. Michael likes Venice. >. Michael does not want to go to the city in [ German ]\n< Richard likes London. Richard likes Brisbane. Lisa likes Busan. >. Richard does not want to go to the city in [ South Korea ]\n"}
{"task_id": "task16", "texts": "\n< Donald likes Beijing. Donald likes Paris. Betty likes Zurich. >. Donald does not want to go to the city in Switzerland\n< Susan likes Brisbane. Joseph likes New Delhi. Susan likes Birmingham. >. Susan does not want to go to the city in India\n< Ronald likes Osaka. Ronald likes Valencia. Patricia likes Chiang Mai. >. Ronald does not want to go to the city in [ Thailand ]\n< Jason likes Washington, D.C. Carol likes Milan. Carol likes Beijing. >. Carol does not want to go to the city in [ the United States ]\n< Thomas likes Chiang Mai. Sarah likes Toronto. Thomas likes Florence. >. Thomas does not want to go to the city in [ Canada ]\n< Robert likes Novosibirsk. Mary likes Lyon. Mary likes Canberra. >. Mary does not want to go to the city in [ Russia ]\n< Ruth likes Brisbane. Daniel likes Shanghai. Daniel likes Mumbai. >. Daniel does not want to go to the city in [ Australia ]\n< Kimberly likes Bangkok. Christopher likes Moscow. Kimberly likes Marseille. >. Kimberly does not want to go to the city in [ Russia ]\n"}
{"task_id": "task17", "texts": "\n< Seoul attracts Elizabeth. Sydney attracts Steven. Birmingham attracts Steven. >. Steven does not want to go to the city in South Korea\n< Bras\u00edlia attracts Karen. Kyoto attracts Karen. Vancouver attracts Paul. >. Karen does not want to go to the city in Canada\n< Chiang Mai attracts Ruth. Mumbai attracts Steven. Barcelona attracts Ruth. >. Ruth does not want to go to the city in [ India ]\n< Munich attracts Ruth. Paris attracts Ruth. Bern attracts Mark. >. Ruth does not want to go to the city in [ Switzerland ]\n< Seoul attracts Nancy. Los Angeles attracts Jeff. Milan attracts Nancy. >. Nancy does not want to go to the city in [ the United States ]\n< Shanghai attracts Laura. Manchester attracts Laura. Zurich attracts Jeff. >. Laura does not want to go to the city in [ Switzerland ]\n< Bras\u00edlia attracts Michael. Moscow attracts Ruth. Birmingham attracts Michael. >. Michael does not want to go to the city in [ Russia ]\n< Lyon attracts Margaret. Saint Petersburg attracts Joseph. Ottawa attracts Joseph. >. Joseph does not want to go to the city in [ France ]\n"}
{"task_id": "task17", "texts": "\n< New Delhi attracts Christopher. Canberra attracts Carol. Rio de Janeiro attracts Carol. >. Carol does not want to go to the city in India\n< Bern attracts Maria. Berlin attracts Joseph. Sydney attracts Joseph. >. Joseph does not want to go to the city in Switzerland\n< Sydney attracts Sharon. Washington, D.C attracts Christopher. New Delhi attracts Sharon. >. Sharon does not want to go to the city in [ the United States ]\n< Novosibirsk attracts Michael. Incheon attracts Susan. Marseille attracts Michael. >. Michael does not want to go to the city in [ South Korea ]\n< Chiang Mai attracts Kenneth. Rome attracts Kenneth. Toronto attracts Donna. >. Kenneth does not want to go to the city in [ Canada ]\n< Lyon attracts Nancy. Birmingham attracts Michael. Valencia attracts Nancy. >. Nancy does not want to go to the city in [ the United Kingdom ]\n< Novosibirsk attracts Barbara. Munich attracts Barbara. Incheon attracts Kenneth. >. Barbara does not want to go to the city in [ South Korea ]\n< Guangzhou attracts Laura. Birmingham attracts Laura. Toronto attracts David. >. Laura does not want to go to the city in [ Canada ]\n"}
{"task_id": "task17", "texts": "\n< Rome attracts Ruth. Marseille attracts Ronald. Novosibirsk attracts Ronald. >. Ronald does not want to go to the city in Italy\n< Bern attracts Charles. Bras\u00edlia attracts Betty. Hamburg attracts Betty. >. Betty does not want to go to the city in Switzerland\n< Munich attracts Ronald. New Delhi attracts Elizabeth. Geneva attracts Elizabeth. >. Elizabeth does not want to go to the city in [ German ]\n< Rio de Janeiro attracts William. Barcelona attracts William. Seoul attracts Nancy. >. William does not want to go to the city in [ South Korea ]\n< Rome attracts William. Sao Paulo attracts Patricia. Brisbane attracts William. >. William does not want to go to the city in [ Brazil ]\n< Busan attracts John. Novosibirsk attracts Nancy. Canberra attracts John. >. John does not want to go to the city in [ Russia ]\n< Florence attracts Laura. Moscow attracts John. Chiang Mai attracts John. >. John does not want to go to the city in [ Italy ]\n< Barcelona attracts Lisa. Brisbane attracts Lisa. Rio de Janeiro attracts Brian. >. Lisa does not want to go to the city in [ Brazil ]\n"}
{"task_id": "task17", "texts": "\n< New Delhi attracts Joseph. Marseille attracts Elizabeth. Manchester attracts Joseph. >. Joseph does not want to visit the city in France\n< Barcelona attracts Jennifer. Zurich attracts Ronald. Manchester attracts Ronald. >. Ronald does not want to visit the city in Spain\n< Lyon attracts Sandra. Mumbai attracts Sandra. Pattaya attracts Christopher. >. Sandra does not want to visit the city in [ Thailand ]\n< Los Angeles attracts Ruth. Munich attracts Edward. Guangzhou attracts Ruth. >. Ruth does not want to visit the city in [ German ]\n< Berlin attracts Karen. Manchester attracts Steven. Barcelona attracts Karen. >. Karen does not want to visit the city in [ the United Kingdom ]\n< Berlin attracts Robert. Pattaya attracts Robert. Saint Petersburg attracts Linda. >. Robert does not want to visit the city in [ Russia ]\n< Zurich attracts Joseph. New Delhi attracts Joseph. Guangzhou attracts Linda. >. Joseph does not want to visit the city in [ China ]\n< Seoul attracts Jeff. Brisbane attracts Sarah. Toronto attracts Sarah. >. Sarah does not want to visit the city in [ South Korea ]\n"}
{"task_id": "task17", "texts": "\n< Paris attracts Donna. Rome attracts Donna. Hamburg attracts Joseph. >. Donna does not want to go to the city in German\n< Kyoto attracts Sharon. Bangalore attracts Daniel. Florence attracts Sharon. >. Sharon does not want to go to the city in India\n< Venice attracts Michelle. Munich attracts Charles. Seoul attracts Michelle. >. Michelle does not want to go to the city in [ German ]\n< Geneva attracts James. Vancouver attracts Patricia. Busan attracts Patricia. >. Patricia does not want to go to the city in [ Switzerland ]\n< Milan attracts Margaret. Bras\u00edlia attracts Margaret. Tokyo attracts Steven. >. Margaret does not want to go to the city in [ Japan ]\n< Pattaya attracts Sarah. Washington, D.C attracts Jeff. Hamburg attracts Jeff. >. Jeff does not want to go to the city in [ Thailand ]\n< Marseille attracts Jennifer. Bern attracts Mark. Canberra attracts Mark. >. Mark does not want to go to the city in [ France ]\n< Ottawa attracts Laura. Mumbai attracts William. Manchester attracts Laura. >. Laura does not want to go to the city in [ India ]\n"}
{"task_id": "task17", "texts": "\n< Florence attracts Ronald. Bangkok attracts Lisa. Birmingham attracts Ronald. >. Ronald does not long for the city in Thailand\n< Tokyo attracts Jennifer. Paris attracts Jennifer. Pattaya attracts Charles. >. Jennifer does not long for the city in Thailand\n< Mumbai attracts Anthony. New York attracts Dorothy. Hamburg attracts Anthony. >. Anthony does not long for the city in [ the United States ]\n< Saint Petersburg attracts Lisa. Incheon attracts Lisa. Guangzhou attracts Mark. >. Lisa does not long for the city in [ China ]\n< Los Angeles attracts Kimberly. Washington, D.C attracts Kimberly. Bras\u00edlia attracts Jeff. >. Kimberly does not long for the city in [ Brazil ]\n< Mumbai attracts Sharon. Rome attracts John. Barcelona attracts John. >. John does not long for the city in [ India ]\n< Tokyo attracts Edward. Pattaya attracts Deborah. Toronto attracts Deborah. >. Deborah does not long for the city in [ Japan ]\n< Toronto attracts Betty. Busan attracts Steven. Brisbane attracts Betty. >. Betty does not long for the city in [ South Korea ]\n"}
{"task_id": "task17", "texts": "\n< Birmingham attracts Mary. Marseille attracts Jason. Toronto attracts Mary. >. Mary does not want to go to the city in France\n< New Delhi attracts James. Munich attracts James. Canberra attracts Barbara. >. James does not want to go to the city in Australia\n< Seoul attracts David. Lyon attracts Helen. Rio de Janeiro attracts Helen. >. Helen does not want to go to the city in [ South Korea ]\n< Barcelona attracts Edward. Bern attracts Sandra. Pattaya attracts Edward. >. Edward does not want to go to the city in [ Switzerland ]\n< Milan attracts Michael. Venice attracts Michael. Manchester attracts Carol. >. Michael does not want to go to the city in [ the United Kingdom ]\n< Berlin attracts Nancy. Busan attracts Nancy. Marseille attracts William. >. Nancy does not want to go to the city in [ France ]\n< Vancouver attracts Maria. Osaka attracts Joseph. Los Angeles attracts Joseph. >. Joseph does not want to go to the city in [ Canada ]\n< Geneva attracts Edward. Washington, D.C attracts Ruth. Lyon attracts Ruth. >. Ruth does not want to go to the city in [ Switzerland ]\n"}
{"task_id": "task17", "texts": "\n< Tokyo attracts Laura. Hamburg attracts Ronald. Rome attracts Ronald. >. Ronald does not long for the city in Japan\n< Osaka attracts Edward. Bangalore attracts Michelle. Busan attracts Michelle. >. Michelle does not long for the city in Japan\n< Kyoto attracts Nancy. Novosibirsk attracts Nancy. New York attracts Ronald. >. Nancy does not long for the city in [ the United States ]\n< Rome attracts Sandra. Sydney attracts Joseph. Hamburg attracts Sandra. >. Sandra does not long for the city in [ Australia ]\n< Moscow attracts Barbara. Bern attracts William. Mumbai attracts Barbara. >. Barbara does not long for the city in [ Switzerland ]\n< Milan attracts Thomas. Toronto attracts Lisa. Busan attracts Thomas. >. Thomas does not long for the city in [ Canada ]\n< Bern attracts Betty. Incheon attracts Jason. Saint Petersburg attracts Jason. >. Jason does not long for the city in [ Switzerland ]\n< Bras\u00edlia attracts David. Ottawa attracts David. Marseille attracts Susan. >. David does not long for the city in [ France ]\n"}
{"task_id": "task17", "texts": "\n< Madrid attracts Nancy. Paris attracts Paul. Marseille attracts Paul. >. Paul does not long for the city in Spain\n< Moscow attracts Donald. Madrid attracts Betty. Bangalore attracts Donald. >. Donald does not long for the city in Spain\n< Bern attracts Edward. Busan attracts Edward. Manchester attracts Jennifer. >. Edward does not long for the city in [ the United Kingdom ]\n< London attracts Laura. Pattaya attracts Laura. Berlin attracts Kenneth. >. Laura does not long for the city in [ German ]\n< Novosibirsk attracts Barbara. Valencia attracts Barbara. Chiang Mai attracts Daniel. >. Barbara does not long for the city in [ Thailand ]\n< Florence attracts Jennifer. Marseille attracts William. Rome attracts Jennifer. >. Jennifer does not long for the city in [ France ]\n< Guangzhou attracts Laura. Los Angeles attracts Laura. Sydney attracts Brian. >. Laura does not long for the city in [ Australia ]\n< New York attracts Mary. Rome attracts Christopher. Zurich attracts Christopher. >. Christopher does not long for the city in [ the United States ]\n"}
{"task_id": "task17", "texts": "\n< Ottawa attracts Helen. Chiang Mai attracts Ronald. Washington, D.C attracts Helen. >. Helen does not want to go to the city in Thailand\n< Busan attracts Maria. Bras\u00edlia attracts Maria. Zurich attracts Mark. >. Maria does not want to go to the city in Switzerland\n< Bras\u00edlia attracts Robert. Chiang Mai attracts Robert. Moscow attracts Michelle. >. Robert does not want to go to the city in [ Russia ]\n< Beijing attracts Sharon. Rome attracts James. Washington, D.C attracts Sharon. >. Sharon does not want to go to the city in [ Italy ]\n< Bern attracts Sarah. Shanghai attracts Sarah. Novosibirsk attracts William. >. Sarah does not want to go to the city in [ Russia ]\n< Sao Paulo attracts Donna. Saint Petersburg attracts Donna. Madrid attracts Brian. >. Donna does not want to go to the city in [ Spain ]\n< Hamburg attracts Ronald. Madrid attracts Donna. Brisbane attracts Donna. >. Donna does not want to go to the city in [ German ]\n< Valencia attracts Daniel. Busan attracts Susan. Kyoto attracts Susan. >. Susan does not want to go to the city in [ Spain ]\n"}
{"task_id": "task17", "texts": "\n< Rome attracts Kimberly. Rio de Janeiro attracts Kimberly. Pattaya attracts John. >. Kimberly does not want to go to the city in Thailand\n< Lyon attracts Kimberly. Tokyo attracts Edward. Moscow attracts Kimberly. >. Kimberly does not want to go to the city in Japan\n< New Delhi attracts Ruth. Marseille attracts Steven. New York attracts Steven. >. Steven does not want to go to the city in [ India ]\n< Berlin attracts Jeff. Tokyo attracts Jeff. Birmingham attracts Deborah. >. Jeff does not want to go to the city in [ the United Kingdom ]\n< Seoul attracts Thomas. Mumbai attracts Kimberly. Shanghai attracts Thomas. >. Thomas does not want to go to the city in [ India ]\n< Brisbane attracts Betty. Bangkok attracts Donald. Incheon attracts Donald. >. Donald does not want to go to the city in [ Australia ]\n< Berlin attracts Helen. Novosibirsk attracts Michael. Venice attracts Michael. >. Michael does not want to go to the city in [ German ]\n< London attracts Richard. Brisbane attracts Richard. Busan attracts Lisa. >. Richard does not want to go to the city in [ South Korea ]\n"}
{"task_id": "task17", "texts": "\n< Beijing attracts Donald. Paris attracts Donald. Zurich attracts Betty. >. Donald does not want to go to the city in Switzerland\n< Brisbane attracts Susan. New Delhi attracts Joseph. Birmingham attracts Susan. >. Susan does not want to go to the city in India\n< Osaka attracts Ronald. Valencia attracts Ronald. Chiang Mai attracts Patricia. >. Ronald does not want to go to the city in [ Thailand ]\n< Washington, D.C attracts Jason. Milan attracts Carol. Beijing attracts Carol. >. Carol does not want to go to the city in [ the United States ]\n< Chiang Mai attracts Thomas. Toronto attracts Sarah. Florence attracts Thomas. >. Thomas does not want to go to the city in [ Canada ]\n< Novosibirsk attracts Robert. Lyon attracts Mary. Canberra attracts Mary. >. Mary does not want to go to the city in [ Russia ]\n< Brisbane attracts Ruth. Shanghai attracts Daniel. Mumbai attracts Daniel. >. Daniel does not want to go to the city in [ Australia ]\n< Bangkok attracts Kimberly. Moscow attracts Christopher. Marseille attracts Kimberly. >. Kimberly does not want to go to the city in [ Russia ]\n"}
{"task_id": "task18", "texts": "\n< Kenneth likes Madrid. John likes Mumbai. Susan likes Marseille. >. John yearns for the city in India\n< Steven likes Vancouver. Deborah likes Paris. Sarah likes London. >. Sarah yearns for the city in the United Kingdom\n< Edward likes Zurich. Sandra likes Valencia. Christopher likes Osaka. >. Sandra yearns for the city in [ Spain ]\n< Kevin likes New York. Lisa likes Ottawa. Linda likes Tokyo. >. Lisa yearns for the city in [ Canada ]\n< Michelle likes Seoul. Elizabeth likes Mumbai. Mary likes Guangzhou. >. Michelle yearns for the city in [ South Korea ]\n< Kimberly likes Rio de Janeiro. Michael likes Geneva. David likes Tokyo. >. David yearns for the city in [ Japan ]\n< Barbara likes Zurich. Patricia likes London. John likes Incheon. >. Barbara yearns for the city in [ Switzerland ]\n< Deborah likes Marseille. Edward likes Manchester. Susan likes Florence. >. Edward yearns for the city in [ the United Kingdom ]\n"}
{"task_id": "task18", "texts": "\n< Linda likes New York. John likes Hamburg. Mary likes Moscow. >. Linda wants to go to the city in the United States\n< Maria likes Zurich. David likes Saint Petersburg. Richard likes Birmingham. >. Richard wants to go to the city in the United Kingdom\n< William likes Madrid. Christopher likes Milan. Nancy likes Geneva. >. Christopher wants to go to the city in [ Italy ]\n< Barbara likes Sydney. Nancy likes Hamburg. Jennifer likes Kyoto. >. Jennifer wants to go to the city in [ Japan ]\n< Linda likes Ottawa. Richard likes Mumbai. Betty likes Manchester. >. Richard wants to go to the city in [ India ]\n< Thomas likes Toronto. Margaret likes Paris. George likes Mumbai. >. Margaret wants to go to the city in [ France ]\n< Anthony likes Shanghai. Carol likes Canberra. Mark likes Incheon. >. Carol wants to go to the city in [ Australia ]\n< Karen likes Vancouver. Charles likes Rio de Janeiro. David likes Barcelona. >. Karen wants to go to the city in [ Canada ]\n"}
{"task_id": "task18", "texts": "\n< Sarah likes Beijing. Ruth likes Madrid. Helen likes Geneva. >. Sarah wants to go to the city in China\n< Ronald likes Toronto. Thomas likes Pattaya. Sarah likes Seoul. >. Ronald wants to go to the city in Canada\n< Michelle likes Chiang Mai. Elizabeth likes Hamburg. Richard likes Vancouver. >. Michelle wants to go to the city in [ Thailand ]\n< William likes Moscow. Lisa likes Valencia. Dorothy likes Bras\u00edlia. >. Dorothy wants to go to the city in [ Brazil ]\n< Sharon likes Manchester. Lisa likes Geneva. Brian likes Hamburg. >. Lisa wants to go to the city in [ Switzerland ]\n< Richard likes Milan. Edward likes Moscow. Brian likes London. >. Edward wants to go to the city in [ Russia ]\n< Sarah likes Saint Petersburg. Ruth likes Milan. Lisa likes Sydney. >. Lisa wants to go to the city in [ Australia ]\n< Anthony likes Marseille. Robert likes Zurich. Ronald likes Barcelona. >. Anthony wants to go to the city in [ France ]\n"}
{"task_id": "task18", "texts": "\n< Ruth likes Mumbai. John likes Madrid. Sharon likes Chiang Mai. >. Sharon wants to go to the city in Thailand\n< Edward likes Chiang Mai. Daniel likes Madrid. Donald likes Tokyo. >. Donald wants to go to the city in Japan\n< Mark likes Valencia. Steven likes Washington, D.C. Deborah likes Bras\u00edlia. >. Steven wants to go to the city in [ the United States ]\n< Nancy likes Shanghai. Ronald likes Manchester. Mary likes Florence. >. Nancy wants to go to the city in [ China ]\n< David likes Kyoto. Jennifer likes Florence. Edward likes Incheon. >. Edward wants to go to the city in [ South Korea ]\n< Donna likes Rome. Karen likes Bern. John likes New York. >. Karen wants to go to the city in [ Switzerland ]\n< Donald likes Marseille. Deborah likes Washington, D.C. Dorothy likes Canberra. >. Deborah wants to go to the city in [ the United States ]\n< Charles likes Bern. Patricia likes Madrid. Deborah likes Osaka. >. Charles wants to go to the city in [ Switzerland ]\n"}
{"task_id": "task18", "texts": "\n< Michelle likes Busan. Jason likes Madrid. Christopher likes Kyoto. >. Jason yearns for the city in Spain\n< William likes Washington, D.C. Sarah likes Venice. Sandra likes Osaka. >. Sandra yearns for the city in Japan\n< Elizabeth likes Sao Paulo. Sandra likes Venice. Donna likes Hamburg. >. Elizabeth yearns for the city in [ Brazil ]\n< Daniel likes Incheon. Susan likes Chiang Mai. Ronald likes Munich. >. Ronald yearns for the city in [ German ]\n< Betty likes Mumbai. Donald likes Manchester. Elizabeth likes Munich. >. Donald yearns for the city in [ the United Kingdom ]\n< Nancy likes Toronto. Brian likes Rome. Margaret likes Madrid. >. Margaret yearns for the city in [ Spain ]\n< Jason likes Munich. Anthony likes Vancouver. Richard likes Washington, D.C. >. Anthony yearns for the city in [ Canada ]\n< Dorothy likes Incheon. Jennifer likes Madrid. Christopher likes Paris. >. Dorothy yearns for the city in [ South Korea ]\n"}
{"task_id": "task18", "texts": "\n< Paul likes Hamburg. Nancy likes Kyoto. Robert likes Geneva. >. Nancy wants to visit the city in Japan\n< Sandra likes Berlin. Mark likes Bern. Sharon likes London. >. Sharon wants to visit the city in the United Kingdom\n< Michael likes Lyon. Jeff likes London. Nancy likes Rome. >. Nancy wants to visit the city in [ Italy ]\n< Edward likes Beijing. Elizabeth likes Osaka. Kenneth likes Marseille. >. Edward wants to visit the city in [ China ]\n< William likes Seoul. Joseph likes Busan. Daniel likes Venice. >. Daniel wants to visit the city in [ Italy ]\n< Carol likes Barcelona. Margaret likes Beijing. Nancy likes Pattaya. >. Carol wants to visit the city in [ Spain ]\n< Jeff likes Seoul. Charles likes Mumbai. Laura likes Guangzhou. >. Charles wants to visit the city in [ India ]\n< Donald likes Ottawa. Brian likes Berlin. Michael likes New Delhi. >. Donald wants to visit the city in [ Canada ]\n"}
{"task_id": "task18", "texts": "\n< Jennifer likes New Delhi. Elizabeth likes Los Angeles. Donna likes Barcelona. >. Donna wants to visit the city in Spain\n< Michelle likes Paris. Elizabeth likes Toronto. George likes Marseille. >. Elizabeth wants to visit the city in Canada\n< John likes Moscow. Linda likes Chiang Mai. Sandra likes Hamburg. >. Sandra wants to visit the city in [ German ]\n< Jason likes Geneva. Patricia likes Lyon. Thomas likes Manchester. >. Patricia wants to visit the city in [ France ]\n< Jeff likes Sao Paulo. Edward likes Florence. Linda likes Barcelona. >. Linda wants to visit the city in [ Spain ]\n< Sharon likes Kyoto. Steven likes Brisbane. Brian likes Ottawa. >. Sharon wants to visit the city in [ Japan ]\n< Edward likes Venice. Donald likes Incheon. Paul likes Bangalore. >. Edward wants to visit the city in [ Italy ]\n< Helen likes Bras\u00edlia. Donald likes Chiang Mai. Michelle likes Moscow. >. Michelle wants to visit the city in [ Russia ]\n"}
{"task_id": "task18", "texts": "\n< Sandra likes Vancouver. Elizabeth likes Milan. Ronald likes Paris. >. Sandra longs for the city in Canada\n< Sarah likes Florence. Michelle likes Guangzhou. Jeff likes Pattaya. >. Jeff longs for the city in Thailand\n< Karen likes Beijing. Robert likes Bangkok. Betty likes London. >. Robert longs for the city in [ Thailand ]\n< Mary likes Washington, D.C. Patricia likes Rome. Sandra likes Shanghai. >. Sandra longs for the city in [ China ]\n< Patricia likes Madrid. Thomas likes London. Donald likes Sao Paulo. >. Donald longs for the city in [ Brazil ]\n< Donald likes New York. Christopher likes Milan. David likes Bangalore. >. Christopher longs for the city in [ Italy ]\n< Margaret likes Canberra. Mary likes Guangzhou. Charles likes Pattaya. >. Mary longs for the city in [ China ]\n< Elizabeth likes Sydney. Mark likes Ottawa. Steven likes Florence. >. Elizabeth longs for the city in [ Australia ]\n"}
{"task_id": "task18", "texts": "\n< Jeff likes Valencia. Donald likes Washington, D.C. Robert likes Venice. >. Donald wants to go to the city in the United States\n< Donna likes New York. Brian likes Marseille. Maria likes Sydney. >. Maria wants to go to the city in Australia\n< George likes Guangzhou. Christopher likes New Delhi. Joseph likes Los Angeles. >. Christopher wants to go to the city in [ India ]\n< Ronald likes Rio de Janeiro. Mark likes Brisbane. Jennifer likes Tokyo. >. Jennifer wants to go to the city in [ Japan ]\n< Edward likes Bras\u00edlia. John likes Bangalore. Thomas likes Paris. >. Edward wants to go to the city in [ Brazil ]\n< Helen likes Brisbane. Karen likes Shanghai. Paul likes Osaka. >. Karen wants to go to the city in [ China ]\n< Dorothy likes Barcelona. Helen likes Canberra. Sharon likes Lyon. >. Sharon wants to go to the city in [ France ]\n< John likes Incheon. Michael likes Kyoto. Laura likes New Delhi. >. John wants to go to the city in [ South Korea ]\n"}
{"task_id": "task18", "texts": "\n< Mark likes Brisbane. Thomas likes Vancouver. Michael likes Zurich. >. Michael wants to visit the city in Switzerland\n< Anthony likes Bangkok. Michelle likes Milan. Charles likes Bras\u00edlia. >. Anthony wants to visit the city in Thailand\n< Robert likes Kyoto. Joseph likes Marseille. John likes Washington, D.C. >. Joseph wants to visit the city in [ France ]\n< Joseph likes Sao Paulo. Charles likes Canberra. Ruth likes Incheon. >. Ruth wants to visit the city in [ South Korea ]\n< George likes Moscow. Michael likes Seoul. Daniel likes Mumbai. >. Daniel wants to visit the city in [ India ]\n< Ronald likes Bern. Betty likes Guangzhou. Michelle likes Barcelona. >. Ronald wants to visit the city in [ Switzerland ]\n< David likes Los Angeles. Dorothy likes Sydney. Maria likes Toronto. >. Dorothy wants to visit the city in [ Australia ]\n< Jason likes Brisbane. Christopher likes Moscow. Betty likes Kyoto. >. Christopher wants to visit the city in [ Russia ]\n"}
{"task_id": "task18", "texts": "\n< Jennifer likes New York. Daniel likes Bangkok. Kenneth likes Geneva. >. Jennifer wants to visit the city in the United States\n< Deborah likes Moscow. David likes Madrid. Sarah likes Hamburg. >. Deborah wants to visit the city in Russia\n< Ruth likes Hamburg. James likes Venice. Donald likes Moscow. >. James wants to visit the city in [ Italy ]\n< Donna likes Florence. Maria likes Paris. James likes Manchester. >. James wants to visit the city in [ the United Kingdom ]\n< Michael likes Kyoto. Linda likes Incheon. Mary likes Madrid. >. Linda wants to visit the city in [ South Korea ]\n< Maria likes Beijing. Richard likes Chiang Mai. Mary likes Pattaya. >. Maria wants to visit the city in [ China ]\n< George likes Pattaya. Kevin likes Florence. Thomas likes Novosibirsk. >. Thomas wants to visit the city in [ Russia ]\n< Margaret likes Bras\u00edlia. Brian likes Toronto. James likes Washington, D.C. >. James wants to visit the city in [ the United States ]\n"}
{"task_id": "task18", "texts": "\n< Kevin likes Berlin. Karen likes Seoul. Joseph likes Mumbai. >. Joseph longs for the city in India\n< Laura likes Sao Paulo. Ruth likes Manchester. James likes Washington, D.C. >. Ruth longs for the city in the United Kingdom\n< Mary likes Vancouver. Edward likes Brisbane. Jennifer likes Birmingham. >. Edward longs for the city in [ Australia ]\n< Susan likes Chiang Mai. Jason likes Tokyo. James likes Bangalore. >. Jason longs for the city in [ Japan ]\n< Steven likes Pattaya. Jennifer likes Marseille. Helen likes Canberra. >. Helen longs for the city in [ Australia ]\n< Linda likes Canberra. Sharon likes Manchester. Margaret likes Washington, D.C. >. Sharon longs for the city in [ the United Kingdom ]\n< Betty likes Zurich. Richard likes Madrid. Edward likes Rome. >. Betty longs for the city in [ Switzerland ]\n< William likes Venice. James likes Munich. Robert likes Brisbane. >. William longs for the city in [ Italy ]\n"}
{"task_id": "task19", "texts": "\n< Madrid attracts Kenneth. Mumbai attracts John. Marseille attracts Susan. >. John yearns for the city in India\n< Vancouver attracts Steven. Paris attracts Deborah. London attracts Sarah. >. Sarah yearns for the city in the United Kingdom\n< Zurich attracts Edward. Valencia attracts Sandra. Osaka attracts Christopher. >. Sandra yearns for the city in [ Spain ]\n< New York attracts Kevin. Ottawa attracts Lisa. Tokyo attracts Linda. >. Lisa yearns for the city in [ Canada ]\n< Seoul attracts Michelle. Mumbai attracts Elizabeth. Guangzhou attracts Mary. >. Michelle yearns for the city in [ South Korea ]\n< Rio de Janeiro attracts Kimberly. Geneva attracts Michael. Tokyo attracts David. >. David yearns for the city in [ Japan ]\n< Zurich attracts Barbara. London attracts Patricia. Incheon attracts John. >. Barbara yearns for the city in [ Switzerland ]\n< Marseille attracts Deborah. Manchester attracts Edward. Florence attracts Susan. >. Edward yearns for the city in [ the United Kingdom ]\n"}
{"task_id": "task19", "texts": "\n< New York attracts Linda. Hamburg attracts John. Moscow attracts Mary. >. Linda wants to go to the city in the United States\n< Zurich attracts Maria. Saint Petersburg attracts David. Birmingham attracts Richard. >. Richard wants to go to the city in the United Kingdom\n< Madrid attracts William. Milan attracts Christopher. Geneva attracts Nancy. >. Christopher wants to go to the city in [ Italy ]\n< Sydney attracts Barbara. Hamburg attracts Nancy. Kyoto attracts Jennifer. >. Jennifer wants to go to the city in [ Japan ]\n< Ottawa attracts Linda. Mumbai attracts Richard. Manchester attracts Betty. >. Richard wants to go to the city in [ India ]\n< Toronto attracts Thomas. Paris attracts Margaret. Mumbai attracts George. >. Margaret wants to go to the city in [ France ]\n< Shanghai attracts Anthony. Canberra attracts Carol. Incheon attracts Mark. >. Carol wants to go to the city in [ Australia ]\n< Vancouver attracts Karen. Rio de Janeiro attracts Charles. Barcelona attracts David. >. Karen wants to go to the city in [ Canada ]\n"}
{"task_id": "task19", "texts": "\n< Beijing attracts Sarah. Madrid attracts Ruth. Geneva attracts Helen. >. Sarah wants to go to the city in China\n< Toronto attracts Ronald. Pattaya attracts Thomas. Seoul attracts Sarah. >. Ronald wants to go to the city in Canada\n< Chiang Mai attracts Michelle. Hamburg attracts Elizabeth. Vancouver attracts Richard. >. Michelle wants to go to the city in [ Thailand ]\n< Moscow attracts William. Valencia attracts Lisa. Bras\u00edlia attracts Dorothy. >. Dorothy wants to go to the city in [ Brazil ]\n< Manchester attracts Sharon. Geneva attracts Lisa. Hamburg attracts Brian. >. Lisa wants to go to the city in [ Switzerland ]\n< Milan attracts Richard. Moscow attracts Edward. London attracts Brian. >. Edward wants to go to the city in [ Russia ]\n< Saint Petersburg attracts Sarah. Milan attracts Ruth. Sydney attracts Lisa. >. Lisa wants to go to the city in [ Australia ]\n< Marseille attracts Anthony. Zurich attracts Robert. Barcelona attracts Ronald. >. Anthony wants to go to the city in [ France ]\n"}
{"task_id": "task19", "texts": "\n< Mumbai attracts Ruth. Madrid attracts John. Chiang Mai attracts Sharon. >. Sharon wants to go to the city in Thailand\n< Chiang Mai attracts Edward. Madrid attracts Daniel. Tokyo attracts Donald. >. Donald wants to go to the city in Japan\n< Valencia attracts Mark. Washington, D.C attracts Steven. Bras\u00edlia attracts Deborah. >. Steven wants to go to the city in [ the United States ]\n< Shanghai attracts Nancy. Manchester attracts Ronald. Florence attracts Mary. >. Nancy wants to go to the city in [ China ]\n< Kyoto attracts David. Florence attracts Jennifer. Incheon attracts Edward. >. Edward wants to go to the city in [ South Korea ]\n< Rome attracts Donna. Bern attracts Karen. New York attracts John. >. Karen wants to go to the city in [ Switzerland ]\n< Marseille attracts Donald. Washington, D.C attracts Deborah. Canberra attracts Dorothy. >. Deborah wants to go to the city in [ the United States ]\n< Bern attracts Charles. Madrid attracts Patricia. Osaka attracts Deborah. >. Charles wants to go to the city in [ Switzerland ]\n"}
{"task_id": "task19", "texts": "\n< Busan attracts Michelle. Madrid attracts Jason. Kyoto attracts Christopher. >. Jason yearns for the city in Spain\n< Washington, D.C attracts William. Venice attracts Sarah. Osaka attracts Sandra. >. Sandra yearns for the city in Japan\n< Sao Paulo attracts Elizabeth. Venice attracts Sandra. Hamburg attracts Donna. >. Elizabeth yearns for the city in [ Brazil ]\n< Incheon attracts Daniel. Chiang Mai attracts Susan. Munich attracts Ronald. >. Ronald yearns for the city in [ German ]\n< Mumbai attracts Betty. Manchester attracts Donald. Munich attracts Elizabeth. >. Donald yearns for the city in [ the United Kingdom ]\n< Toronto attracts Nancy. Rome attracts Brian. Madrid attracts Margaret. >. Margaret yearns for the city in [ Spain ]\n< Munich attracts Jason. Vancouver attracts Anthony. Washington, D.C attracts Richard. >. Anthony yearns for the city in [ Canada ]\n< Incheon attracts Dorothy. Madrid attracts Jennifer. Paris attracts Christopher. >. Dorothy yearns for the city in [ South Korea ]\n"}
{"task_id": "task19", "texts": "\n< Hamburg attracts Paul. Kyoto attracts Nancy. Geneva attracts Robert. >. Nancy wants to visit the city in Japan\n< Berlin attracts Sandra. Bern attracts Mark. London attracts Sharon. >. Sharon wants to visit the city in the United Kingdom\n< Lyon attracts Michael. London attracts Jeff. Rome attracts Nancy. >. Nancy wants to visit the city in [ Italy ]\n< Beijing attracts Edward. Osaka attracts Elizabeth. Marseille attracts Kenneth. >. Edward wants to visit the city in [ China ]\n< Seoul attracts William. Busan attracts Joseph. Venice attracts Daniel. >. Daniel wants to visit the city in [ Italy ]\n< Barcelona attracts Carol. Beijing attracts Margaret. Pattaya attracts Nancy. >. Carol wants to visit the city in [ Spain ]\n< Seoul attracts Jeff. Mumbai attracts Charles. Guangzhou attracts Laura. >. Charles wants to visit the city in [ India ]\n< Ottawa attracts Donald. Berlin attracts Brian. New Delhi attracts Michael. >. Donald wants to visit the city in [ Canada ]\n"}
{"task_id": "task19", "texts": "\n< New Delhi attracts Jennifer. Los Angeles attracts Elizabeth. Barcelona attracts Donna. >. Donna wants to visit the city in Spain\n< Paris attracts Michelle. Toronto attracts Elizabeth. Marseille attracts George. >. Elizabeth wants to visit the city in Canada\n< Moscow attracts John. Chiang Mai attracts Linda. Hamburg attracts Sandra. >. Sandra wants to visit the city in [ German ]\n< Geneva attracts Jason. Lyon attracts Patricia. Manchester attracts Thomas. >. Patricia wants to visit the city in [ France ]\n< Sao Paulo attracts Jeff. Florence attracts Edward. Barcelona attracts Linda. >. Linda wants to visit the city in [ Spain ]\n< Kyoto attracts Sharon. Brisbane attracts Steven. Ottawa attracts Brian. >. Sharon wants to visit the city in [ Japan ]\n< Venice attracts Edward. Incheon attracts Donald. Bangalore attracts Paul. >. Edward wants to visit the city in [ Italy ]\n< Bras\u00edlia attracts Helen. Chiang Mai attracts Donald. Moscow attracts Michelle. >. Michelle wants to visit the city in [ Russia ]\n"}
{"task_id": "task19", "texts": "\n< Vancouver attracts Sandra. Milan attracts Elizabeth. Paris attracts Ronald. >. Sandra longs for the city in Canada\n< Florence attracts Sarah. Guangzhou attracts Michelle. Pattaya attracts Jeff. >. Jeff longs for the city in Thailand\n< Beijing attracts Karen. Bangkok attracts Robert. London attracts Betty. >. Robert longs for the city in [ Thailand ]\n< Washington, D.C attracts Mary. Rome attracts Patricia. Shanghai attracts Sandra. >. Sandra longs for the city in [ China ]\n< Madrid attracts Patricia. London attracts Thomas. Sao Paulo attracts Donald. >. Donald longs for the city in [ Brazil ]\n< New York attracts Donald. Milan attracts Christopher. Bangalore attracts David. >. Christopher longs for the city in [ Italy ]\n< Canberra attracts Margaret. Guangzhou attracts Mary. Pattaya attracts Charles. >. Mary longs for the city in [ China ]\n< Sydney attracts Elizabeth. Ottawa attracts Mark. Florence attracts Steven. >. Elizabeth longs for the city in [ Australia ]\n"}
{"task_id": "task19", "texts": "\n< Valencia attracts Jeff. Washington, D.C attracts Donald. Venice attracts Robert. >. Donald wants to go to the city in the United States\n< New York attracts Donna. Marseille attracts Brian. Sydney attracts Maria. >. Maria wants to go to the city in Australia\n< Guangzhou attracts George. New Delhi attracts Christopher. Los Angeles attracts Joseph. >. Christopher wants to go to the city in [ India ]\n< Rio de Janeiro attracts Ronald. Brisbane attracts Mark. Tokyo attracts Jennifer. >. Jennifer wants to go to the city in [ Japan ]\n< Bras\u00edlia attracts Edward. Bangalore attracts John. Paris attracts Thomas. >. Edward wants to go to the city in [ Brazil ]\n< Brisbane attracts Helen. Shanghai attracts Karen. Osaka attracts Paul. >. Karen wants to go to the city in [ China ]\n< Barcelona attracts Dorothy. Canberra attracts Helen. Lyon attracts Sharon. >. Sharon wants to go to the city in [ France ]\n< Incheon attracts John. Kyoto attracts Michael. New Delhi attracts Laura. >. John wants to go to the city in [ South Korea ]\n"}
{"task_id": "task19", "texts": "\n< Brisbane attracts Mark. Vancouver attracts Thomas. Zurich attracts Michael. >. Michael wants to visit the city in Switzerland\n< Bangkok attracts Anthony. Milan attracts Michelle. Bras\u00edlia attracts Charles. >. Anthony wants to visit the city in Thailand\n< Kyoto attracts Robert. Marseille attracts Joseph. Washington, D.C attracts John. >. Joseph wants to visit the city in [ France ]\n< Sao Paulo attracts Joseph. Canberra attracts Charles. Incheon attracts Ruth. >. Ruth wants to visit the city in [ South Korea ]\n< Moscow attracts George. Seoul attracts Michael. Mumbai attracts Daniel. >. Daniel wants to visit the city in [ India ]\n< Bern attracts Ronald. Guangzhou attracts Betty. Barcelona attracts Michelle. >. Ronald wants to visit the city in [ Switzerland ]\n< Los Angeles attracts David. Sydney attracts Dorothy. Toronto attracts Maria. >. Dorothy wants to visit the city in [ Australia ]\n< Brisbane attracts Jason. Moscow attracts Christopher. Kyoto attracts Betty. >. Christopher wants to visit the city in [ Russia ]\n"}
{"task_id": "task19", "texts": "\n< New York attracts Jennifer. Bangkok attracts Daniel. Geneva attracts Kenneth. >. Jennifer wants to visit the city in the United States\n< Moscow attracts Deborah. Madrid attracts David. Hamburg attracts Sarah. >. Deborah wants to visit the city in Russia\n< Hamburg attracts Ruth. Venice attracts James. Moscow attracts Donald. >. James wants to visit the city in [ Italy ]\n< Florence attracts Donna. Paris attracts Maria. Manchester attracts James. >. James wants to visit the city in [ the United Kingdom ]\n< Kyoto attracts Michael. Incheon attracts Linda. Madrid attracts Mary. >. Linda wants to visit the city in [ South Korea ]\n< Beijing attracts Maria. Chiang Mai attracts Richard. Pattaya attracts Mary. >. Maria wants to visit the city in [ China ]\n< Pattaya attracts George. Florence attracts Kevin. Novosibirsk attracts Thomas. >. Thomas wants to visit the city in [ Russia ]\n< Bras\u00edlia attracts Margaret. Toronto attracts Brian. Washington, D.C attracts James. >. James wants to visit the city in [ the United States ]\n"}
{"task_id": "task19", "texts": "\n< Berlin attracts Kevin. Seoul attracts Karen. Mumbai attracts Joseph. >. Joseph longs for the city in India\n< Sao Paulo attracts Laura. Manchester attracts Ruth. Washington, D.C attracts James. >. Ruth longs for the city in the United Kingdom\n< Vancouver attracts Mary. Brisbane attracts Edward. Birmingham attracts Jennifer. >. Edward longs for the city in [ Australia ]\n< Chiang Mai attracts Susan. Tokyo attracts Jason. Bangalore attracts James. >. Jason longs for the city in [ Japan ]\n< Pattaya attracts Steven. Marseille attracts Jennifer. Canberra attracts Helen. >. Helen longs for the city in [ Australia ]\n< Canberra attracts Linda. Manchester attracts Sharon. Washington, D.C attracts Margaret. >. Sharon longs for the city in [ the United Kingdom ]\n< Zurich attracts Betty. Madrid attracts Richard. Rome attracts Edward. >. Betty longs for the city in [ Switzerland ]\n< Venice attracts William. Munich attracts James. Brisbane attracts Robert. >. William longs for the city in [ Italy ]\n"}
{"task_id": "task20", "texts": "\n< Donald likes Venice. Betty likes Bras\u00edlia. Lisa likes Rome. >. Who does not long for the city in Italy? Betty\n< Linda likes Los Angeles. Richard likes Tokyo. Steven likes New York. >. Who does not long for the city in the United States? Richard\n< George likes Berlin. Betty likes Munich. Linda likes Zurich. >. Who does not long for the city in German? [ Linda ]\n< George likes Bern. James likes Bangkok. Mary likes Chiang Mai. >. Who does not long for the city in Thailand? [ George ]\n< George likes Pattaya. Carol likes Chiang Mai. Edward likes Saint Petersburg. >. Who does not long for the city in Thailand? [ Edward ]\n< Sarah likes Moscow. John likes Zurich. Ronald likes Novosibirsk. >. Who does not long for the city in Russia? [ John ]\n< Betty likes Chiang Mai. Steven likes Florence. Joseph likes Rome. >. Who does not long for the city in Italy? [ Betty ]\n< James likes Vancouver. Sharon likes Incheon. Michelle likes Toronto. >. Who does not long for the city in Canada? [ Sharon ]\n"}
{"task_id": "task20", "texts": "\n< William likes Canberra. Lisa likes Bangkok. Helen likes Sydney. >. Who does not long for the city in Australia? Lisa\n< Laura likes Guangzhou. Brian likes Munich. Lisa likes Hamburg. >. Who does not long for the city in German? Laura\n< William likes Milan. Edward likes New York. Elizabeth likes Los Angeles. >. Who does not long for the city in the United States? [ William ]\n< James likes Pattaya. Kevin likes Sydney. Jason likes Brisbane. >. Who does not long for the city in Australia? [ James ]\n< Betty likes Seoul. John likes Busan. Helen likes Moscow. >. Who does not long for the city in South Korea? [ Helen ]\n< Barbara likes Madrid. Michael likes Vancouver. Ronald likes Valencia. >. Who does not long for the city in Spain? [ Michael ]\n< Richard likes New Delhi. Deborah likes Mumbai. Kimberly likes Bern. >. Who does not long for the city in India? [ Kimberly ]\n< Sandra likes Kyoto. Deborah likes Tokyo. Michelle likes Mumbai. >. Who does not long for the city in Japan? [ Michelle ]\n"}
{"task_id": "task20", "texts": "\n< Donald likes Venice. Thomas likes Rome. Michael likes Brisbane. >. Who does not yearn for the city in Italy? Michael\n< Patricia likes Bangalore. Linda likes New Delhi. Jennifer likes Saint Petersburg. >. Who does not yearn for the city in India? Jennifer\n< Sharon likes Bangkok. James likes New Delhi. Patricia likes Bangalore. >. Who does not yearn for the city in India? [ Sharon ]\n< Ruth likes Venice. David likes Sao Paulo. Donald likes Milan. >. Who does not yearn for the city in Italy? [ David ]\n< Lisa likes Madrid. Charles likes Beijing. Patricia likes Guangzhou. >. Who does not yearn for the city in China? [ Lisa ]\n< Lisa likes Lyon. Jeff likes Zurich. Deborah likes Marseille. >. Who does not yearn for the city in France? [ Jeff ]\n< Joseph likes Tokyo. Steven likes Kyoto. Christopher likes Berlin. >. Who does not yearn for the city in Japan? [ Christopher ]\n< Sarah likes Novosibirsk. Joseph likes Pattaya. Robert likes Moscow. >. Who does not yearn for the city in Russia? [ Joseph ]\n"}
{"task_id": "task20", "texts": "\n< Deborah likes Osaka. Carol likes Paris. Ruth likes Lyon. >. Who does not want to go to the city in France? Deborah\n< Richard likes Rio de Janeiro. Jennifer likes Osaka. Sandra likes Sao Paulo. >. Who does not want to go to the city in Brazil? Jennifer\n< Michelle likes Pattaya. Lisa likes Chiang Mai. Laura likes Los Angeles. >. Who does not want to go to the city in Thailand? [ Laura ]\n< David likes Hamburg. Thomas likes Berlin. Betty likes Bern. >. Who does not want to go to the city in German? [ Betty ]\n< James likes Lyon. Linda likes Marseille. Carol likes Berlin. >. Who does not want to go to the city in France? [ Carol ]\n< John likes Saint Petersburg. Maria likes Sao Paulo. David likes Moscow. >. Who does not want to go to the city in Russia? [ Maria ]\n< Donna likes Incheon. Lisa likes Valencia. Sharon likes Barcelona. >. Who does not want to go to the city in Spain? [ Donna ]\n< Sharon likes Berlin. Daniel likes Hamburg. Paul likes Marseille. >. Who does not want to go to the city in German? [ Paul ]\n"}
{"task_id": "task20", "texts": "\n< Mark likes Milan. Laura likes Munich. Christopher likes Venice. >. Who does not want to go to the city in Italy? Laura\n< Charles likes Moscow. George likes Saint Petersburg. Sandra likes London. >. Who does not want to go to the city in Russia? Sandra\n< John likes New Delhi. Susan likes Bern. Michael likes Bangalore. >. Who does not want to go to the city in India? [ Susan ]\n< Karen likes Mumbai. Barbara likes Bangalore. Lisa likes Madrid. >. Who does not want to go to the city in India? [ Lisa ]\n< Linda likes Incheon. Robert likes Berlin. James likes Munich. >. Who does not want to go to the city in German? [ Linda ]\n< Ronald likes Madrid. Kimberly likes Guangzhou. Ruth likes Barcelona. >. Who does not want to go to the city in Spain? [ Kimberly ]\n< Mark likes Manchester. Ronald likes Pattaya. George likes Bangkok. >. Who does not want to go to the city in Thailand? [ Mark ]\n< Mark likes Manchester. Michelle likes Busan. John likes Incheon. >. Who does not want to go to the city in South Korea? [ Mark ]\n"}
{"task_id": "task20", "texts": "\n< Edward likes Chiang Mai. Sarah likes Kyoto. Brian likes Osaka. >. Who does not long for the city in Japan? Edward\n< Sandra likes Seoul. Brian likes Vancouver. Carol likes Ottawa. >. Who does not long for the city in Canada? Sandra\n< Brian likes Los Angeles. Robert likes Bangkok. Joseph likes Pattaya. >. Who does not long for the city in Thailand? [ Brian ]\n< Brian likes Los Angeles. Linda likes Washington, D.C. Ruth likes Zurich. >. Who does not long for the city in the United States? [ Ruth ]\n< Kimberly likes Los Angeles. Richard likes New York. Barbara likes Zurich. >. Who does not long for the city in the United States? [ Barbara ]\n< Margaret likes Rome. Jennifer likes Florence. Kimberly likes Incheon. >. Who does not long for the city in Italy? [ Kimberly ]\n< Jeff likes Madrid. Laura likes Bras\u00edlia. Michelle likes Valencia. >. Who does not long for the city in Spain? [ Laura ]\n< Jeff likes Chiang Mai. Mark likes Busan. Elizabeth likes Bangkok. >. Who does not long for the city in Thailand? [ Mark ]\n"}
{"task_id": "task20", "texts": "\n< Mary likes Canberra. Ronald likes Sydney. Betty likes Birmingham. >. Who does not want to visit the city in Australia? Betty\n< Daniel likes Manchester. Elizabeth likes Florence. Edward likes Birmingham. >. Who does not want to visit the city in the United Kingdom? Elizabeth\n< Richard likes Saint Petersburg. Carol likes Seoul. Sandra likes Busan. >. Who does not want to visit the city in South Korea? [ Richard ]\n< Nancy likes Bern. Barbara likes Vancouver. Donna likes Zurich. >. Who does not want to visit the city in Switzerland? [ Barbara ]\n< Carol likes London. Deborah likes Milan. Betty likes Venice. >. Who does not want to visit the city in Italy? [ Carol ]\n< William likes Busan. Margaret likes Incheon. Susan likes Rio de Janeiro. >. Who does not want to visit the city in South Korea? [ Susan ]\n< Patricia likes Incheon. Jason likes Busan. Donald likes Bangkok. >. Who does not want to visit the city in South Korea? [ Donald ]\n< Michelle likes Valencia. Nancy likes Osaka. Carol likes Madrid. >. Who does not want to visit the city in Spain? [ Nancy ]\n"}
{"task_id": "task20", "texts": "\n< John likes Los Angeles. Nancy likes Rome. Lisa likes Washington, D.C. >. Who does not want to go to the city in the United States? Nancy\n< John likes Tokyo. Michael likes Chiang Mai. David likes Pattaya. >. Who does not want to go to the city in Thailand? John\n< Deborah likes Ottawa. Patricia likes Birmingham. Dorothy likes Toronto. >. Who does not want to go to the city in Canada? [ Patricia ]\n< Daniel likes Manchester. Edward likes London. Linda likes Shanghai. >. Who does not want to go to the city in the United Kingdom? [ Linda ]\n< Maria likes Valencia. Donna likes Rome. Margaret likes Venice. >. Who does not want to go to the city in Italy? [ Maria ]\n< Charles likes Pattaya. Jeff likes Beijing. Laura likes Shanghai. >. Who does not want to go to the city in China? [ Charles ]\n< David likes Seoul. John likes Osaka. Brian likes Kyoto. >. Who does not want to go to the city in Japan? [ David ]\n< Maria likes Vancouver. Elizabeth likes Toronto. Charles likes Guangzhou. >. Who does not want to go to the city in Canada? [ Charles ]\n"}
{"task_id": "task20", "texts": "\n< Michelle likes Barcelona. Ronald likes Geneva. Charles likes Madrid. >. Who does not long for the city in Spain? Ronald\n< Kenneth likes Zurich. William likes Chiang Mai. Jennifer likes Bern. >. Who does not long for the city in Switzerland? William\n< Mary likes Incheon. Jason likes Busan. Richard likes Manchester. >. Who does not long for the city in South Korea? [ Richard ]\n< Maria likes Ottawa. Nancy likes Bern. David likes Zurich. >. Who does not long for the city in Switzerland? [ Maria ]\n< Linda likes Rome. Maria likes Toronto. Edward likes Florence. >. Who does not long for the city in Italy? [ Maria ]\n< George likes Florence. Susan likes Munich. Jeff likes Hamburg. >. Who does not long for the city in German? [ George ]\n< Susan likes Berlin. Thomas likes Munich. Mary likes Pattaya. >. Who does not long for the city in German? [ Mary ]\n< Patricia likes Guangzhou. Anthony likes Tokyo. Sarah likes Kyoto. >. Who does not long for the city in Japan? [ Patricia ]\n"}
{"task_id": "task20", "texts": "\n< Deborah likes Vancouver. Linda likes Zurich. Laura likes Toronto. >. Who does not want to go to the city in Canada? Linda\n< Linda likes Busan. George likes Incheon. Susan likes Geneva. >. Who does not want to go to the city in South Korea? Susan\n< Sandra likes Seoul. Donna likes Incheon. Maria likes Manchester. >. Who does not want to go to the city in South Korea? [ Maria ]\n< Jennifer likes Seoul. Jason likes Rio de Janeiro. Joseph likes Busan. >. Who does not want to go to the city in South Korea? [ Jason ]\n< Jason likes Tokyo. Christopher likes Osaka. Ronald likes Valencia. >. Who does not want to go to the city in Japan? [ Ronald ]\n< Ruth likes Venice. Margaret likes Sao Paulo. Donald likes Rio de Janeiro. >. Who does not want to go to the city in Brazil? [ Ruth ]\n< Ruth likes Brisbane. Jeff likes Vancouver. Laura likes Ottawa. >. Who does not want to go to the city in Canada? [ Ruth ]\n< Sarah likes Ottawa. David likes Vancouver. Betty likes Lyon. >. Who does not want to go to the city in Canada? [ Betty ]\n"}
{"task_id": "task20", "texts": "\n< Sharon likes Florence. Ronald likes Canberra. Jason likes Brisbane. >. Who does not long for the city in Australia? Sharon\n< Sharon likes Bern. Nancy likes Geneva. Dorothy likes Venice. >. Who does not long for the city in Switzerland? Dorothy\n< David likes Venice. Carol likes Osaka. William likes Florence. >. Who does not long for the city in Italy? [ Carol ]\n< John likes Sao Paulo. Karen likes Mumbai. Barbara likes Rio de Janeiro. >. Who does not long for the city in Brazil? [ Karen ]\n< Sharon likes London. Jeff likes Manchester. Barbara likes Lyon. >. Who does not long for the city in the United Kingdom? [ Barbara ]\n< Richard likes Milan. John likes Shanghai. Paul likes Guangzhou. >. Who does not long for the city in China? [ Richard ]\n< James likes New York. Carol likes Shanghai. Jeff likes Washington, D.C. >. Who does not long for the city in the United States? [ Carol ]\n< William likes Milan. Edward likes Florence. Kenneth likes Bangkok. >. Who does not long for the city in Italy? [ Kenneth ]\n"}
{"task_id": "task20", "texts": "\n< Jeff likes Beijing. Lisa likes Sao Paulo. Kimberly likes Bras\u00edlia. >. Who does not want to go to the city in Brazil? Jeff\n< Edward likes Novosibirsk. Christopher likes Moscow. Kevin likes New York. >. Who does not want to go to the city in Russia? Kevin\n< Linda likes Novosibirsk. Mark likes Sao Paulo. Deborah likes Moscow. >. Who does not want to go to the city in Russia? [ Mark ]\n< Mark likes Pattaya. Brian likes Bangkok. Christopher likes London. >. Who does not want to go to the city in Thailand? [ Christopher ]\n< Robert likes Lyon. Barbara likes Marseille. Sarah likes Bangkok. >. Who does not want to go to the city in France? [ Sarah ]\n< Mark likes Bras\u00edlia. Edward likes New Delhi. Karen likes Sao Paulo. >. Who does not want to go to the city in Brazil? [ Edward ]\n< Deborah likes Munich. Michael likes Berlin. Elizabeth likes Busan. >. Who does not want to go to the city in German? [ Elizabeth ]\n< Deborah likes Venice. Nancy likes Bangkok. Mary likes Chiang Mai. >. Who does not want to go to the city in Thailand? [ Deborah ]\n"}
{"task_id": "task21", "texts": "\n< Venice attracts Donald. Bras\u00edlia attracts Betty. Rome attracts Lisa. >. Who does not long for the city in Italy? Betty\n< Los Angeles attracts Linda. Tokyo attracts Richard. New York attracts Steven. >. Who does not long for the city in the United States? Richard\n< Berlin attracts George. Munich attracts Betty. Zurich attracts Linda. >. Who does not long for the city in German? [ Linda ]\n< Bern attracts George. Bangkok attracts James. Chiang Mai attracts Mary. >. Who does not long for the city in Thailand? [ George ]\n< Pattaya attracts George. Chiang Mai attracts Carol. Saint Petersburg attracts Edward. >. Who does not long for the city in Thailand? [ Edward ]\n< Moscow attracts Sarah. Zurich attracts John. Novosibirsk attracts Ronald. >. Who does not long for the city in Russia? [ John ]\n< Chiang Mai attracts Betty. Florence attracts Steven. Rome attracts Joseph. >. Who does not long for the city in Italy? [ Betty ]\n< Vancouver attracts James. Incheon attracts Sharon. Toronto attracts Michelle. >. Who does not long for the city in Canada? [ Sharon ]\n"}
{"task_id": "task21", "texts": "\n< Canberra attracts William. Bangkok attracts Lisa. Sydney attracts Helen. >. Who does not long for the city in Australia? Lisa\n< Guangzhou attracts Laura. Munich attracts Brian. Hamburg attracts Lisa. >. Who does not long for the city in German? Laura\n< Milan attracts William. New York attracts Edward. Los Angeles attracts Elizabeth. >. Who does not long for the city in the United States? [ William ]\n< Pattaya attracts James. Sydney attracts Kevin. Brisbane attracts Jason. >. Who does not long for the city in Australia? [ James ]\n< Seoul attracts Betty. Busan attracts John. Moscow attracts Helen. >. Who does not long for the city in South Korea? [ Helen ]\n< Madrid attracts Barbara. Vancouver attracts Michael. Valencia attracts Ronald. >. Who does not long for the city in Spain? [ Michael ]\n< New Delhi attracts Richard. Mumbai attracts Deborah. Bern attracts Kimberly. >. Who does not long for the city in India? [ Kimberly ]\n< Kyoto attracts Sandra. Tokyo attracts Deborah. Mumbai attracts Michelle. >. Who does not long for the city in Japan? [ Michelle ]\n"}
{"task_id": "task21", "texts": "\n< Venice attracts Donald. Rome attracts Thomas. Brisbane attracts Michael. >. Who does not yearn for the city in Italy? Michael\n< Bangalore attracts Patricia. New Delhi attracts Linda. Saint Petersburg attracts Jennifer. >. Who does not yearn for the city in India? Jennifer\n< Bangkok attracts Sharon. New Delhi attracts James. Bangalore attracts Patricia. >. Who does not yearn for the city in India? [ Sharon ]\n< Venice attracts Ruth. Sao Paulo attracts David. Milan attracts Donald. >. Who does not yearn for the city in Italy? [ David ]\n< Madrid attracts Lisa. Beijing attracts Charles. Guangzhou attracts Patricia. >. Who does not yearn for the city in China? [ Lisa ]\n< Lyon attracts Lisa. Zurich attracts Jeff. Marseille attracts Deborah. >. Who does not yearn for the city in France? [ Jeff ]\n< Tokyo attracts Joseph. Kyoto attracts Steven. Berlin attracts Christopher. >. Who does not yearn for the city in Japan? [ Christopher ]\n< Novosibirsk attracts Sarah. Pattaya attracts Joseph. Moscow attracts Robert. >. Who does not yearn for the city in Russia? [ Joseph ]\n"}
{"task_id": "task21", "texts": "\n< Osaka attracts Deborah. Paris attracts Carol. Lyon attracts Ruth. >. Who does not want to go to the city in France? Deborah\n< Rio de Janeiro attracts Richard. Osaka attracts Jennifer. Sao Paulo attracts Sandra. >. Who does not want to go to the city in Brazil? Jennifer\n< Pattaya attracts Michelle. Chiang Mai attracts Lisa. Los Angeles attracts Laura. >. Who does not want to go to the city in Thailand? [ Laura ]\n< Hamburg attracts David. Berlin attracts Thomas. Bern attracts Betty. >. Who does not want to go to the city in German? [ Betty ]\n< Lyon attracts James. Marseille attracts Linda. Berlin attracts Carol. >. Who does not want to go to the city in France? [ Carol ]\n< Saint Petersburg attracts John. Sao Paulo attracts Maria. Moscow attracts David. >. Who does not want to go to the city in Russia? [ Maria ]\n< Incheon attracts Donna. Valencia attracts Lisa. Barcelona attracts Sharon. >. Who does not want to go to the city in Spain? [ Donna ]\n< Berlin attracts Sharon. Hamburg attracts Daniel. Marseille attracts Paul. >. Who does not want to go to the city in German? [ Paul ]\n"}
{"task_id": "task21", "texts": "\n< Milan attracts Mark. Munich attracts Laura. Venice attracts Christopher. >. Who does not want to go to the city in Italy? Laura\n< Moscow attracts Charles. Saint Petersburg attracts George. London attracts Sandra. >. Who does not want to go to the city in Russia? Sandra\n< New Delhi attracts John. Bern attracts Susan. Bangalore attracts Michael. >. Who does not want to go to the city in India? [ Susan ]\n< Mumbai attracts Karen. Bangalore attracts Barbara. Madrid attracts Lisa. >. Who does not want to go to the city in India? [ Lisa ]\n< Incheon attracts Linda. Berlin attracts Robert. Munich attracts James. >. Who does not want to go to the city in German? [ Linda ]\n< Madrid attracts Ronald. Guangzhou attracts Kimberly. Barcelona attracts Ruth. >. Who does not want to go to the city in Spain? [ Kimberly ]\n< Manchester attracts Mark. Pattaya attracts Ronald. Bangkok attracts George. >. Who does not want to go to the city in Thailand? [ Mark ]\n< Manchester attracts Mark. Busan attracts Michelle. Incheon attracts John. >. Who does not want to go to the city in South Korea? [ Mark ]\n"}
{"task_id": "task21", "texts": "\n< Chiang Mai attracts Edward. Kyoto attracts Sarah. Osaka attracts Brian. >. Who does not long for the city in Japan? Edward\n< Seoul attracts Sandra. Vancouver attracts Brian. Ottawa attracts Carol. >. Who does not long for the city in Canada? Sandra\n< Los Angeles attracts Brian. Bangkok attracts Robert. Pattaya attracts Joseph. >. Who does not long for the city in Thailand? [ Brian ]\n< Los Angeles attracts Brian. Washington, D.C attracts Linda. Zurich attracts Ruth. >. Who does not long for the city in the United States? [ Ruth ]\n< Los Angeles attracts Kimberly. New York attracts Richard. Zurich attracts Barbara. >. Who does not long for the city in the United States? [ Barbara ]\n< Rome attracts Margaret. Florence attracts Jennifer. Incheon attracts Kimberly. >. Who does not long for the city in Italy? [ Kimberly ]\n< Madrid attracts Jeff. Bras\u00edlia attracts Laura. Valencia attracts Michelle. >. Who does not long for the city in Spain? [ Laura ]\n< Chiang Mai attracts Jeff. Busan attracts Mark. Bangkok attracts Elizabeth. >. Who does not long for the city in Thailand? [ Mark ]\n"}
{"task_id": "task21", "texts": "\n< Canberra attracts Mary. Sydney attracts Ronald. Birmingham attracts Betty. >. Who does not want to visit the city in Australia? Betty\n< Manchester attracts Daniel. Florence attracts Elizabeth. Birmingham attracts Edward. >. Who does not want to visit the city in the United Kingdom? Elizabeth\n< Saint Petersburg attracts Richard. Seoul attracts Carol. Busan attracts Sandra. >. Who does not want to visit the city in South Korea? [ Richard ]\n< Bern attracts Nancy. Vancouver attracts Barbara. Zurich attracts Donna. >. Who does not want to visit the city in Switzerland? [ Barbara ]\n< London attracts Carol. Milan attracts Deborah. Venice attracts Betty. >. Who does not want to visit the city in Italy? [ Carol ]\n< Busan attracts William. Incheon attracts Margaret. Rio de Janeiro attracts Susan. >. Who does not want to visit the city in South Korea? [ Susan ]\n< Incheon attracts Patricia. Busan attracts Jason. Bangkok attracts Donald. >. Who does not want to visit the city in South Korea? [ Donald ]\n< Valencia attracts Michelle. Osaka attracts Nancy. Madrid attracts Carol. >. Who does not want to visit the city in Spain? [ Nancy ]\n"}
{"task_id": "task21", "texts": "\n< Los Angeles attracts John. Rome attracts Nancy. Washington, D.C attracts Lisa. >. Who does not want to go to the city in the United States? Nancy\n< Tokyo attracts John. Chiang Mai attracts Michael. Pattaya attracts David. >. Who does not want to go to the city in Thailand? John\n< Ottawa attracts Deborah. Birmingham attracts Patricia. Toronto attracts Dorothy. >. Who does not want to go to the city in Canada? [ Patricia ]\n< Manchester attracts Daniel. London attracts Edward. Shanghai attracts Linda. >. Who does not want to go to the city in the United Kingdom? [ Linda ]\n< Valencia attracts Maria. Rome attracts Donna. Venice attracts Margaret. >. Who does not want to go to the city in Italy? [ Maria ]\n< Pattaya attracts Charles. Beijing attracts Jeff. Shanghai attracts Laura. >. Who does not want to go to the city in China? [ Charles ]\n< Seoul attracts David. Osaka attracts John. Kyoto attracts Brian. >. Who does not want to go to the city in Japan? [ David ]\n< Vancouver attracts Maria. Toronto attracts Elizabeth. Guangzhou attracts Charles. >. Who does not want to go to the city in Canada? [ Charles ]\n"}
{"task_id": "task21", "texts": "\n< Barcelona attracts Michelle. Geneva attracts Ronald. Madrid attracts Charles. >. Who does not long for the city in Spain? Ronald\n< Zurich attracts Kenneth. Chiang Mai attracts William. Bern attracts Jennifer. >. Who does not long for the city in Switzerland? William\n< Incheon attracts Mary. Busan attracts Jason. Manchester attracts Richard. >. Who does not long for the city in South Korea? [ Richard ]\n< Ottawa attracts Maria. Bern attracts Nancy. Zurich attracts David. >. Who does not long for the city in Switzerland? [ Maria ]\n< Rome attracts Linda. Toronto attracts Maria. Florence attracts Edward. >. Who does not long for the city in Italy? [ Maria ]\n< Florence attracts George. Munich attracts Susan. Hamburg attracts Jeff. >. Who does not long for the city in German? [ George ]\n< Berlin attracts Susan. Munich attracts Thomas. Pattaya attracts Mary. >. Who does not long for the city in German? [ Mary ]\n< Guangzhou attracts Patricia. Tokyo attracts Anthony. Kyoto attracts Sarah. >. Who does not long for the city in Japan? [ Patricia ]\n"}
{"task_id": "task21", "texts": "\n< Vancouver attracts Deborah. Zurich attracts Linda. Toronto attracts Laura. >. Who does not want to go to the city in Canada? Linda\n< Busan attracts Linda. Incheon attracts George. Geneva attracts Susan. >. Who does not want to go to the city in South Korea? Susan\n< Seoul attracts Sandra. Incheon attracts Donna. Manchester attracts Maria. >. Who does not want to go to the city in South Korea? [ Maria ]\n< Seoul attracts Jennifer. Rio de Janeiro attracts Jason. Busan attracts Joseph. >. Who does not want to go to the city in South Korea? [ Jason ]\n< Tokyo attracts Jason. Osaka attracts Christopher. Valencia attracts Ronald. >. Who does not want to go to the city in Japan? [ Ronald ]\n< Venice attracts Ruth. Sao Paulo attracts Margaret. Rio de Janeiro attracts Donald. >. Who does not want to go to the city in Brazil? [ Ruth ]\n< Brisbane attracts Ruth. Vancouver attracts Jeff. Ottawa attracts Laura. >. Who does not want to go to the city in Canada? [ Ruth ]\n< Ottawa attracts Sarah. Vancouver attracts David. Lyon attracts Betty. >. Who does not want to go to the city in Canada? [ Betty ]\n"}
{"task_id": "task21", "texts": "\n< Florence attracts Sharon. Canberra attracts Ronald. Brisbane attracts Jason. >. Who does not long for the city in Australia? Sharon\n< Bern attracts Sharon. Geneva attracts Nancy. Venice attracts Dorothy. >. Who does not long for the city in Switzerland? Dorothy\n< Venice attracts David. Osaka attracts Carol. Florence attracts William. >. Who does not long for the city in Italy? [ Carol ]\n< Sao Paulo attracts John. Mumbai attracts Karen. Rio de Janeiro attracts Barbara. >. Who does not long for the city in Brazil? [ Karen ]\n< London attracts Sharon. Manchester attracts Jeff. Lyon attracts Barbara. >. Who does not long for the city in the United Kingdom? [ Barbara ]\n< Milan attracts Richard. Shanghai attracts John. Guangzhou attracts Paul. >. Who does not long for the city in China? [ Richard ]\n< New York attracts James. Shanghai attracts Carol. Washington, D.C attracts Jeff. >. Who does not long for the city in the United States? [ Carol ]\n< Milan attracts William. Florence attracts Edward. Bangkok attracts Kenneth. >. Who does not long for the city in Italy? [ Kenneth ]\n"}
{"task_id": "task21", "texts": "\n< Beijing attracts Jeff. Sao Paulo attracts Lisa. Bras\u00edlia attracts Kimberly. >. Who does not want to go to the city in Brazil? Jeff\n< Novosibirsk attracts Edward. Moscow attracts Christopher. New York attracts Kevin. >. Who does not want to go to the city in Russia? Kevin\n< Novosibirsk attracts Linda. Sao Paulo attracts Mark. Moscow attracts Deborah. >. Who does not want to go to the city in Russia? [ Mark ]\n< Pattaya attracts Mark. Bangkok attracts Brian. London attracts Christopher. >. Who does not want to go to the city in Thailand? [ Christopher ]\n< Lyon attracts Robert. Marseille attracts Barbara. Bangkok attracts Sarah. >. Who does not want to go to the city in France? [ Sarah ]\n< Bras\u00edlia attracts Mark. New Delhi attracts Edward. Sao Paulo attracts Karen. >. Who does not want to go to the city in Brazil? [ Edward ]\n< Munich attracts Deborah. Berlin attracts Michael. Busan attracts Elizabeth. >. Who does not want to go to the city in German? [ Elizabeth ]\n< Venice attracts Deborah. Bangkok attracts Nancy. Chiang Mai attracts Mary. >. Who does not want to go to the city in Thailand? [ Deborah ]\n"}
{"task_id": "task22", "texts": "\n< Susan likes Beijing. Dorothy likes Rome. Robert likes Berlin. >. Who wants to visit the city in German? Robert\n< William likes Guangzhou. Jeff likes Hamburg. Kenneth likes Vancouver. >. Who wants to visit the city in Canada? Kenneth\n< David likes Barcelona. Robert likes New York. Lisa likes Mumbai. >. Who wants to visit the city in the United States? [ Robert ]\n< Paul likes Saint Petersburg. Michelle likes London. Patricia likes Berlin. >. Who wants to visit the city in German? [ Patricia ]\n< Brian likes Canberra. Betty likes Madrid. Ronald likes Guangzhou. >. Who wants to visit the city in China? [ Ronald ]\n< Donald likes Bangkok. Carol likes Berlin. Helen likes Sydney. >. Who wants to visit the city in German? [ Carol ]\n< James likes Bangalore. Jeff likes Ottawa. Sandra likes Sydney. >. Who wants to visit the city in India? [ James ]\n< William likes Los Angeles. Edward likes Sao Paulo. Elizabeth likes Milan. >. Who wants to visit the city in the United States? [ William ]\n"}
{"task_id": "task22", "texts": "\n< Ruth likes Brisbane. David likes Venice. Donald likes Vancouver. >. Who wants to visit the city in Italy? David\n< Margaret likes Shanghai. Michelle likes Bangalore. Kenneth likes Bangkok. >. Who wants to visit the city in China? Margaret\n< Joseph likes Barcelona. Mark likes Bern. John likes Lyon. >. Who wants to visit the city in Switzerland? [ Mark ]\n< Barbara likes Osaka. David likes Busan. Michael likes Bras\u00edlia. >. Who wants to visit the city in Brazil? [ Michael ]\n< Robert likes Los Angeles. William likes Zurich. Charles likes Sydney. >. Who wants to visit the city in the United States? [ Robert ]\n< Kimberly likes Bangalore. Carol likes Osaka. Ruth likes Ottawa. >. Who wants to visit the city in India? [ Kimberly ]\n< Richard likes Zurich. Jennifer likes Bras\u00edlia. Sandra likes Busan. >. Who wants to visit the city in Brazil? [ Jennifer ]\n< Helen likes Geneva. Carol likes Busan. Michelle likes Bangkok. >. Who wants to visit the city in Thailand? [ Michelle ]\n"}
{"task_id": "task22", "texts": "\n< Maria likes Mumbai. Donald likes Shanghai. Joseph likes Bern. >. Who wants to go to the city in India? Maria\n< Elizabeth likes Canberra. Patricia likes Birmingham. Maria likes Guangzhou. >. Who wants to go to the city in China? Maria\n< Betty likes Madrid. Patricia likes Berlin. Linda likes Saint Petersburg. >. Who wants to go to the city in Spain? [ Betty ]\n< Helen likes Barcelona. Kevin likes Rio de Janeiro. Paul likes Brisbane. >. Who wants to go to the city in Brazil? [ Kevin ]\n< Michael likes Geneva. Jeff likes Brisbane. Paul likes Paris. >. Who wants to go to the city in France? [ Paul ]\n< Barbara likes Berlin. James likes Mumbai. Richard likes Tokyo. >. Who wants to go to the city in German? [ Barbara ]\n< John likes Sydney. Nancy likes Tokyo. Ronald likes Bern. >. Who wants to go to the city in Switzerland? [ Ronald ]\n< Sandra likes New York. Deborah likes London. Jason likes Mumbai. >. Who wants to go to the city in the United Kingdom? [ Deborah ]\n"}
{"task_id": "task22", "texts": "\n< Lisa likes Chiang Mai. Susan likes Seoul. Jason likes Washington, D.C. >. Who wants to visit the city in the United States? Jason\n< Michael likes Bras\u00edlia. Jennifer likes Los Angeles. Maria likes Ottawa. >. Who wants to visit the city in the United States? Jennifer\n< James likes Ottawa. William likes Barcelona. Helen likes Lyon. >. Who wants to visit the city in Canada? [ James ]\n< Michael likes New Delhi. William likes Sao Paulo. Elizabeth likes Mumbai. >. Who wants to visit the city in Brazil? [ William ]\n< Christopher likes Novosibirsk. Maria likes Valencia. Betty likes Geneva. >. Who wants to visit the city in Switzerland? [ Betty ]\n< Margaret likes Los Angeles. Ronald likes Zurich. Patricia likes Beijing. >. Who wants to visit the city in the United States? [ Margaret ]\n< Barbara likes Manchester. Laura likes Moscow. Christopher likes New Delhi. >. Who wants to visit the city in the United Kingdom? [ Barbara ]\n< Robert likes Rome. Christopher likes London. David likes Bern. >. Who wants to visit the city in Italy? [ Robert ]\n"}
{"task_id": "task22", "texts": "\n< Maria likes Bangkok. Michael likes Guangzhou. Richard likes Birmingham. >. Who yearns for the city in Thailand? Maria\n< Sarah likes Pattaya. Christopher likes Hamburg. Mark likes Washington, D.C. >. Who yearns for the city in Thailand? Sarah\n< Edward likes London. Steven likes Saint Petersburg. George likes Florence. >. Who yearns for the city in Italy? [ George ]\n< Carol likes Venice. Kevin likes Paris. Ronald likes Beijing. >. Who yearns for the city in China? [ Ronald ]\n< Daniel likes Berlin. Anthony likes Birmingham. James likes New Delhi. >. Who yearns for the city in German? [ Daniel ]\n< Ronald likes London. Donna likes Beijing. Sharon likes Marseille. >. Who yearns for the city in China? [ Donna ]\n< George likes Vancouver. Michelle likes Incheon. Maria likes Bangalore. >. Who yearns for the city in South Korea? [ Michelle ]\n< Carol likes Novosibirsk. Kenneth likes Osaka. Ronald likes Madrid. >. Who yearns for the city in Russia? [ Carol ]\n"}
{"task_id": "task22", "texts": "\n< Michelle likes Marseille. Helen likes Vancouver. Jennifer likes Bern. >. Who wants to go to the city in France? Michelle\n< Richard likes Washington, D.C. Sandra likes Moscow. John likes Hamburg. >. Who wants to go to the city in German? John\n< Edward likes Manchester. Carol likes Hamburg. Dorothy likes Geneva. >. Who wants to go to the city in Switzerland? [ Dorothy ]\n< Deborah likes Brisbane. Linda likes Vancouver. Daniel likes Geneva. >. Who wants to go to the city in Canada? [ Linda ]\n< Charles likes Los Angeles. Anthony likes Brisbane. Donald likes Berlin. >. Who wants to go to the city in German? [ Donald ]\n< Robert likes Rio de Janeiro. Michelle likes Birmingham. Brian likes Sydney. >. Who wants to go to the city in the United Kingdom? [ Michelle ]\n< Mark likes Tokyo. Sandra likes Pattaya. Ruth likes Toronto. >. Who wants to go to the city in Japan? [ Mark ]\n< Ruth likes Berlin. Laura likes Manchester. Edward likes Lyon. >. Who wants to go to the city in France? [ Edward ]\n"}
{"task_id": "task22", "texts": "\n< Jeff likes Osaka. Donna likes Mumbai. Robert likes Rio de Janeiro. >. Who wants to go to the city in Brazil? Robert\n< Linda likes Venice. John likes Munich. Barbara likes Shanghai. >. Who wants to go to the city in Italy? Linda\n< Sandra likes Rio de Janeiro. Margaret likes Chiang Mai. Michelle likes Osaka. >. Who wants to go to the city in Thailand? [ Margaret ]\n< Jason likes Toronto. Robert likes Sao Paulo. Thomas likes Tokyo. >. Who wants to go to the city in Canada? [ Jason ]\n< Sarah likes Canberra. Barbara likes Manchester. Laura likes Seoul. >. Who wants to go to the city in the United Kingdom? [ Barbara ]\n< David likes Brisbane. George likes Pattaya. Betty likes Chiang Mai. >. Who wants to go to the city in Australia? [ David ]\n< Kimberly likes Seoul. Mary likes New Delhi. Patricia likes Shanghai. >. Who wants to go to the city in China? [ Patricia ]\n< Dorothy likes Geneva. Thomas likes Sydney. William likes Barcelona. >. Who wants to go to the city in Australia? [ Thomas ]\n"}
{"task_id": "task22", "texts": "\n< Barbara likes Paris. Mary likes Bern. George likes New York. >. Who wants to go to the city in the United States? George\n< David likes New York. John likes Bras\u00edlia. Jason likes Bern. >. Who wants to go to the city in Switzerland? Jason\n< Edward likes Bras\u00edlia. Richard likes Tokyo. Sandra likes Paris. >. Who wants to go to the city in Brazil? [ Edward ]\n< Ronald likes Guangzhou. Brian likes Mumbai. Mary likes Berlin. >. Who wants to go to the city in India? [ Brian ]\n< Paul likes Madrid. Carol likes Hamburg. Sharon likes Ottawa. >. Who wants to go to the city in Canada? [ Sharon ]\n< Carol likes Vancouver. Barbara likes Geneva. William likes Venice. >. Who wants to go to the city in Canada? [ Carol ]\n< Patricia likes Geneva. Brian likes Sao Paulo. Thomas likes New Delhi. >. Who wants to go to the city in Switzerland? [ Patricia ]\n< Robert likes Geneva. Karen likes Guangzhou. Donna likes Marseille. >. Who wants to go to the city in China? [ Karen ]\n"}
{"task_id": "task22", "texts": "\n< Betty likes Birmingham. Joseph likes Pattaya. Donald likes Geneva. >. Who yearns for the city in Thailand? Joseph\n< Maria likes Brisbane. Kevin likes Munich. Paul likes Paris. >. Who yearns for the city in France? Paul\n< Mary likes Lyon. William likes Geneva. Susan likes Manchester. >. Who yearns for the city in France? [ Mary ]\n< Richard likes Barcelona. Thomas likes Sao Paulo. Deborah likes Florence. >. Who yearns for the city in Spain? [ Richard ]\n< Anthony likes Ottawa. Edward likes Brisbane. Linda likes Kyoto. >. Who yearns for the city in Japan? [ Linda ]\n< Margaret likes Incheon. Dorothy likes Bangalore. Sharon likes Venice. >. Who yearns for the city in Italy? [ Sharon ]\n< Ruth likes Bras\u00edlia. Donna likes Canberra. Ronald likes New Delhi. >. Who yearns for the city in Australia? [ Donna ]\n< Barbara likes Washington, D.C. Margaret likes Beijing. Brian likes Rome. >. Who yearns for the city in Italy? [ Brian ]\n"}
{"task_id": "task22", "texts": "\n< Richard likes Munich. Laura likes Paris. Robert likes Shanghai. >. Who wants to visit the city in German? Richard\n< Elizabeth likes Berlin. Michelle likes Sao Paulo. Kevin likes Kyoto. >. Who wants to visit the city in Brazil? Michelle\n< Barbara likes Manchester. Robert likes Mumbai. Elizabeth likes Munich. >. Who wants to visit the city in the United Kingdom? [ Barbara ]\n< Kimberly likes Brisbane. Ronald likes Guangzhou. Mark likes Los Angeles. >. Who wants to visit the city in the United States? [ Mark ]\n< Michael likes Ottawa. Jason likes Beijing. Karen likes Bangkok. >. Who wants to visit the city in China? [ Jason ]\n< Sarah likes Tokyo. Donald likes Berlin. Kevin likes Birmingham. >. Who wants to visit the city in the United Kingdom? [ Kevin ]\n< John likes Vancouver. Charles likes Busan. Barbara likes Milan. >. Who wants to visit the city in South Korea? [ Charles ]\n< William likes Manchester. John likes Munich. Richard likes Ottawa. >. Who wants to visit the city in the United Kingdom? [ William ]\n"}
{"task_id": "task22", "texts": "\n< Richard likes Pattaya. Sharon likes Bras\u00edlia. Lisa likes Busan. >. Who longs for the city in Brazil? Sharon\n< Maria likes Munich. Richard likes Barcelona. Donald likes Venice. >. Who longs for the city in Italy? Donald\n< Donna likes Toronto. Donald likes Milan. Patricia likes Venice. >. Who longs for the city in Canada? [ Donna ]\n< Kimberly likes Marseille. Thomas likes Bern. Robert likes Guangzhou. >. Who longs for the city in Switzerland? [ Thomas ]\n< Charles likes Munich. Margaret likes Barcelona. Barbara likes Geneva. >. Who longs for the city in Switzerland? [ Barbara ]\n< Deborah likes Munich. Steven likes Incheon. Dorothy likes Venice. >. Who longs for the city in South Korea? [ Steven ]\n< Betty likes Sao Paulo. Donna likes Ottawa. Barbara likes Barcelona. >. Who longs for the city in Brazil? [ Betty ]\n< Kenneth likes Zurich. Kimberly likes Berlin. Sarah likes New York. >. Who longs for the city in the United States? [ Sarah ]\n"}
{"task_id": "task22", "texts": "\n< Maria likes Bangalore. Carol likes Brisbane. James likes Saint Petersburg. >. Who longs for the city in India? Maria\n< Maria likes Birmingham. William likes Madrid. Edward likes Sydney. >. Who longs for the city in the United Kingdom? Maria\n< Michelle likes Guangzhou. David likes Geneva. Charles likes Tokyo. >. Who longs for the city in Switzerland? [ David ]\n< John likes New York. Joseph likes Milan. Margaret likes Vancouver. >. Who longs for the city in Canada? [ Margaret ]\n< James likes Saint Petersburg. Steven likes Vancouver. Elizabeth likes Valencia. >. Who longs for the city in Spain? [ Elizabeth ]\n< Maria likes Beijing. Ronald likes Saint Petersburg. Lisa likes Seoul. >. Who longs for the city in South Korea? [ Lisa ]\n< Margaret likes Hamburg. Deborah likes New York. Ruth likes Milan. >. Who longs for the city in the United States? [ Deborah ]\n< John likes Toronto. Steven likes Berlin. Sarah likes Sydney. >. Who longs for the city in Australia? [ Sarah ]\n"}
{"task_id": "task23", "texts": "\n< Beijing attracts Susan. Rome attracts Dorothy. Berlin attracts Robert. >. Who wants to visit the city in German? Robert\n< Guangzhou attracts William. Hamburg attracts Jeff. Vancouver attracts Kenneth. >. Who wants to visit the city in Canada? Kenneth\n< Barcelona attracts David. New York attracts Robert. Mumbai attracts Lisa. >. Who wants to visit the city in the United States? [ Robert ]\n< Saint Petersburg attracts Paul. London attracts Michelle. Berlin attracts Patricia. >. Who wants to visit the city in German? [ Patricia ]\n< Canberra attracts Brian. Madrid attracts Betty. Guangzhou attracts Ronald. >. Who wants to visit the city in China? [ Ronald ]\n< Bangkok attracts Donald. Berlin attracts Carol. Sydney attracts Helen. >. Who wants to visit the city in German? [ Carol ]\n< Bangalore attracts James. Ottawa attracts Jeff. Sydney attracts Sandra. >. Who wants to visit the city in India? [ James ]\n< Los Angeles attracts William. Sao Paulo attracts Edward. Milan attracts Elizabeth. >. Who wants to visit the city in the United States? [ William ]\n"}
{"task_id": "task23", "texts": "\n< Brisbane attracts Ruth. Venice attracts David. Vancouver attracts Donald. >. Who wants to visit the city in Italy? David\n< Shanghai attracts Margaret. Bangalore attracts Michelle. Bangkok attracts Kenneth. >. Who wants to visit the city in China? Margaret\n< Barcelona attracts Joseph. Bern attracts Mark. Lyon attracts John. >. Who wants to visit the city in Switzerland? [ Mark ]\n< Osaka attracts Barbara. Busan attracts David. Bras\u00edlia attracts Michael. >. Who wants to visit the city in Brazil? [ Michael ]\n< Los Angeles attracts Robert. Zurich attracts William. Sydney attracts Charles. >. Who wants to visit the city in the United States? [ Robert ]\n< Bangalore attracts Kimberly. Osaka attracts Carol. Ottawa attracts Ruth. >. Who wants to visit the city in India? [ Kimberly ]\n< Zurich attracts Richard. Bras\u00edlia attracts Jennifer. Busan attracts Sandra. >. Who wants to visit the city in Brazil? [ Jennifer ]\n< Geneva attracts Helen. Busan attracts Carol. Bangkok attracts Michelle. >. Who wants to visit the city in Thailand? [ Michelle ]\n"}
{"task_id": "task23", "texts": "\n< Mumbai attracts Maria. Shanghai attracts Donald. Bern attracts Joseph. >. Who wants to go to the city in India? Maria\n< Canberra attracts Elizabeth. Birmingham attracts Patricia. Guangzhou attracts Maria. >. Who wants to go to the city in China? Maria\n< Madrid attracts Betty. Berlin attracts Patricia. Saint Petersburg attracts Linda. >. Who wants to go to the city in Spain? [ Betty ]\n< Barcelona attracts Helen. Rio de Janeiro attracts Kevin. Brisbane attracts Paul. >. Who wants to go to the city in Brazil? [ Kevin ]\n< Geneva attracts Michael. Brisbane attracts Jeff. Paris attracts Paul. >. Who wants to go to the city in France? [ Paul ]\n< Berlin attracts Barbara. Mumbai attracts James. Tokyo attracts Richard. >. Who wants to go to the city in German? [ Barbara ]\n< Sydney attracts John. Tokyo attracts Nancy. Bern attracts Ronald. >. Who wants to go to the city in Switzerland? [ Ronald ]\n< New York attracts Sandra. London attracts Deborah. Mumbai attracts Jason. >. Who wants to go to the city in the United Kingdom? [ Deborah ]\n"}
{"task_id": "task23", "texts": "\n< Chiang Mai attracts Lisa. Seoul attracts Susan. Washington, D.C attracts Jason. >. Who wants to visit the city in the United States? Jason\n< Bras\u00edlia attracts Michael. Los Angeles attracts Jennifer. Ottawa attracts Maria. >. Who wants to visit the city in the United States? Jennifer\n< Ottawa attracts James. Barcelona attracts William. Lyon attracts Helen. >. Who wants to visit the city in Canada? [ James ]\n< New Delhi attracts Michael. Sao Paulo attracts William. Mumbai attracts Elizabeth. >. Who wants to visit the city in Brazil? [ William ]\n< Novosibirsk attracts Christopher. Valencia attracts Maria. Geneva attracts Betty. >. Who wants to visit the city in Switzerland? [ Betty ]\n< Los Angeles attracts Margaret. Zurich attracts Ronald. Beijing attracts Patricia. >. Who wants to visit the city in the United States? [ Margaret ]\n< Manchester attracts Barbara. Moscow attracts Laura. New Delhi attracts Christopher. >. Who wants to visit the city in the United Kingdom? [ Barbara ]\n< Rome attracts Robert. London attracts Christopher. Bern attracts David. >. Who wants to visit the city in Italy? [ Robert ]\n"}
{"task_id": "task23", "texts": "\n< Bangkok attracts Maria. Guangzhou attracts Michael. Birmingham attracts Richard. >. Who yearns for the city in Thailand? Maria\n< Pattaya attracts Sarah. Hamburg attracts Christopher. Washington, D.C attracts Mark. >. Who yearns for the city in Thailand? Sarah\n< London attracts Edward. Saint Petersburg attracts Steven. Florence attracts George. >. Who yearns for the city in Italy? [ George ]\n< Venice attracts Carol. Paris attracts Kevin. Beijing attracts Ronald. >. Who yearns for the city in China? [ Ronald ]\n< Berlin attracts Daniel. Birmingham attracts Anthony. New Delhi attracts James. >. Who yearns for the city in German? [ Daniel ]\n< London attracts Ronald. Beijing attracts Donna. Marseille attracts Sharon. >. Who yearns for the city in China? [ Donna ]\n< Vancouver attracts George. Incheon attracts Michelle. Bangalore attracts Maria. >. Who yearns for the city in South Korea? [ Michelle ]\n< Novosibirsk attracts Carol. Osaka attracts Kenneth. Madrid attracts Ronald. >. Who yearns for the city in Russia? [ Carol ]\n"}
{"task_id": "task23", "texts": "\n< Marseille attracts Michelle. Vancouver attracts Helen. Bern attracts Jennifer. >. Who wants to go to the city in France? Michelle\n< Washington, D.C attracts Richard. Moscow attracts Sandra. Hamburg attracts John. >. Who wants to go to the city in German? John\n< Manchester attracts Edward. Hamburg attracts Carol. Geneva attracts Dorothy. >. Who wants to go to the city in Switzerland? [ Dorothy ]\n< Brisbane attracts Deborah. Vancouver attracts Linda. Geneva attracts Daniel. >. Who wants to go to the city in Canada? [ Linda ]\n< Los Angeles attracts Charles. Brisbane attracts Anthony. Berlin attracts Donald. >. Who wants to go to the city in German? [ Donald ]\n< Rio de Janeiro attracts Robert. Birmingham attracts Michelle. Sydney attracts Brian. >. Who wants to go to the city in the United Kingdom? [ Michelle ]\n< Tokyo attracts Mark. Pattaya attracts Sandra. Toronto attracts Ruth. >. Who wants to go to the city in Japan? [ Mark ]\n< Berlin attracts Ruth. Manchester attracts Laura. Lyon attracts Edward. >. Who wants to go to the city in France? [ Edward ]\n"}
{"task_id": "task23", "texts": "\n< Osaka attracts Jeff. Mumbai attracts Donna. Rio de Janeiro attracts Robert. >. Who wants to go to the city in Brazil? Robert\n< Venice attracts Linda. Munich attracts John. Shanghai attracts Barbara. >. Who wants to go to the city in Italy? Linda\n< Rio de Janeiro attracts Sandra. Chiang Mai attracts Margaret. Osaka attracts Michelle. >. Who wants to go to the city in Thailand? [ Margaret ]\n< Toronto attracts Jason. Sao Paulo attracts Robert. Tokyo attracts Thomas. >. Who wants to go to the city in Canada? [ Jason ]\n< Canberra attracts Sarah. Manchester attracts Barbara. Seoul attracts Laura. >. Who wants to go to the city in the United Kingdom? [ Barbara ]\n< Brisbane attracts David. Pattaya attracts George. Chiang Mai attracts Betty. >. Who wants to go to the city in Australia? [ David ]\n< Seoul attracts Kimberly. New Delhi attracts Mary. Shanghai attracts Patricia. >. Who wants to go to the city in China? [ Patricia ]\n< Geneva attracts Dorothy. Sydney attracts Thomas. Barcelona attracts William. >. Who wants to go to the city in Australia? [ Thomas ]\n"}
{"task_id": "task23", "texts": "\n< Paris attracts Barbara. Bern attracts Mary. New York attracts George. >. Who wants to go to the city in the United States? George\n< New York attracts David. Bras\u00edlia attracts John. Bern attracts Jason. >. Who wants to go to the city in Switzerland? Jason\n< Bras\u00edlia attracts Edward. Tokyo attracts Richard. Paris attracts Sandra. >. Who wants to go to the city in Brazil? [ Edward ]\n< Guangzhou attracts Ronald. Mumbai attracts Brian. Berlin attracts Mary. >. Who wants to go to the city in India? [ Brian ]\n< Madrid attracts Paul. Hamburg attracts Carol. Ottawa attracts Sharon. >. Who wants to go to the city in Canada? [ Sharon ]\n< Vancouver attracts Carol. Geneva attracts Barbara. Venice attracts William. >. Who wants to go to the city in Canada? [ Carol ]\n< Geneva attracts Patricia. Sao Paulo attracts Brian. New Delhi attracts Thomas. >. Who wants to go to the city in Switzerland? [ Patricia ]\n< Geneva attracts Robert. Guangzhou attracts Karen. Marseille attracts Donna. >. Who wants to go to the city in China? [ Karen ]\n"}
{"task_id": "task23", "texts": "\n< Birmingham attracts Betty. Pattaya attracts Joseph. Geneva attracts Donald. >. Who yearns for the city in Thailand? Joseph\n< Brisbane attracts Maria. Munich attracts Kevin. Paris attracts Paul. >. Who yearns for the city in France? Paul\n< Lyon attracts Mary. Geneva attracts William. Manchester attracts Susan. >. Who yearns for the city in France? [ Mary ]\n< Barcelona attracts Richard. Sao Paulo attracts Thomas. Florence attracts Deborah. >. Who yearns for the city in Spain? [ Richard ]\n< Ottawa attracts Anthony. Brisbane attracts Edward. Kyoto attracts Linda. >. Who yearns for the city in Japan? [ Linda ]\n< Incheon attracts Margaret. Bangalore attracts Dorothy. Venice attracts Sharon. >. Who yearns for the city in Italy? [ Sharon ]\n< Bras\u00edlia attracts Ruth. Canberra attracts Donna. New Delhi attracts Ronald. >. Who yearns for the city in Australia? [ Donna ]\n< Washington, D.C attracts Barbara. Beijing attracts Margaret. Rome attracts Brian. >. Who yearns for the city in Italy? [ Brian ]\n"}
{"task_id": "task23", "texts": "\n< Munich attracts Richard. Paris attracts Laura. Shanghai attracts Robert. >. Who wants to visit the city in German? Richard\n< Berlin attracts Elizabeth. Sao Paulo attracts Michelle. Kyoto attracts Kevin. >. Who wants to visit the city in Brazil? Michelle\n< Manchester attracts Barbara. Mumbai attracts Robert. Munich attracts Elizabeth. >. Who wants to visit the city in the United Kingdom? [ Barbara ]\n< Brisbane attracts Kimberly. Guangzhou attracts Ronald. Los Angeles attracts Mark. >. Who wants to visit the city in the United States? [ Mark ]\n< Ottawa attracts Michael. Beijing attracts Jason. Bangkok attracts Karen. >. Who wants to visit the city in China? [ Jason ]\n< Tokyo attracts Sarah. Berlin attracts Donald. Birmingham attracts Kevin. >. Who wants to visit the city in the United Kingdom? [ Kevin ]\n< Vancouver attracts John. Busan attracts Charles. Milan attracts Barbara. >. Who wants to visit the city in South Korea? [ Charles ]\n< Manchester attracts William. Munich attracts John. Ottawa attracts Richard. >. Who wants to visit the city in the United Kingdom? [ William ]\n"}
{"task_id": "task23", "texts": "\n< Pattaya attracts Richard. Bras\u00edlia attracts Sharon. Busan attracts Lisa. >. Who longs for the city in Brazil? Sharon\n< Munich attracts Maria. Barcelona attracts Richard. Venice attracts Donald. >. Who longs for the city in Italy? Donald\n< Toronto attracts Donna. Milan attracts Donald. Venice attracts Patricia. >. Who longs for the city in Canada? [ Donna ]\n< Marseille attracts Kimberly. Bern attracts Thomas. Guangzhou attracts Robert. >. Who longs for the city in Switzerland? [ Thomas ]\n< Munich attracts Charles. Barcelona attracts Margaret. Geneva attracts Barbara. >. Who longs for the city in Switzerland? [ Barbara ]\n< Munich attracts Deborah. Incheon attracts Steven. Venice attracts Dorothy. >. Who longs for the city in South Korea? [ Steven ]\n< Sao Paulo attracts Betty. Ottawa attracts Donna. Barcelona attracts Barbara. >. Who longs for the city in Brazil? [ Betty ]\n< Zurich attracts Kenneth. Berlin attracts Kimberly. New York attracts Sarah. >. Who longs for the city in the United States? [ Sarah ]\n"}
{"task_id": "task23", "texts": "\n< Bangalore attracts Maria. Brisbane attracts Carol. Saint Petersburg attracts James. >. Who longs for the city in India? Maria\n< Birmingham attracts Maria. Madrid attracts William. Sydney attracts Edward. >. Who longs for the city in the United Kingdom? Maria\n< Guangzhou attracts Michelle. Geneva attracts David. Tokyo attracts Charles. >. Who longs for the city in Switzerland? [ David ]\n< New York attracts John. Milan attracts Joseph. Vancouver attracts Margaret. >. Who longs for the city in Canada? [ Margaret ]\n< Saint Petersburg attracts James. Vancouver attracts Steven. Valencia attracts Elizabeth. >. Who longs for the city in Spain? [ Elizabeth ]\n< Beijing attracts Maria. Saint Petersburg attracts Ronald. Seoul attracts Lisa. >. Who longs for the city in South Korea? [ Lisa ]\n< Hamburg attracts Margaret. New York attracts Deborah. Milan attracts Ruth. >. Who longs for the city in the United States? [ Deborah ]\n< Toronto attracts John. Berlin attracts Steven. Sydney attracts Sarah. >. Who longs for the city in Australia? [ Sarah ]\n"}
{"task_id": "task24", "texts": "\n< Ronald likes Zurich. Ronald likes Pattaya. Maria likes Lyon. >. Ronald does not long for Lyon\n< Kenneth likes Mumbai. Nancy likes Bras\u00edlia. Kenneth likes Novosibirsk. >. Kenneth does not long for Bras\u00edlia\n< Kenneth likes Manchester. Margaret likes Novosibirsk. Kenneth likes Washington, D.C. >. Kenneth does not long for [ Novosibirsk ]\n< Karen likes Geneva. Jeff likes Rio de Janeiro. Jeff likes Beijing. >. Jeff does not long for [ Geneva ]\n< Laura likes Barcelona. Daniel likes Saint Petersburg. Daniel likes Sydney. >. Daniel does not long for [ Barcelona ]\n< Barbara likes Sao Paulo. Joseph likes Washington, D.C. Barbara likes Los Angeles. >. Barbara does not long for [ Washington, D.C ]\n< Daniel likes New Delhi. Daniel likes London. Susan likes Tokyo. >. Daniel does not long for [ Tokyo ]\n< Kenneth likes Bras\u00edlia. Dorothy likes New York. Kenneth likes Bangalore. >. Kenneth does not long for [ New York ]\n"}
{"task_id": "task24", "texts": "\n< Kimberly likes Berlin. Anthony likes Ottawa. Kimberly likes Seoul. >. Kimberly does not want to go to Ottawa\n< Laura likes New Delhi. Jason likes Barcelona. Jason likes Madrid. >. Jason does not want to go to New Delhi\n< Helen likes Kyoto. Helen likes Canberra. John likes Paris. >. Helen does not want to go to [ Paris ]\n< Jennifer likes Bangalore. David likes Hamburg. David likes Barcelona. >. David does not want to go to [ Bangalore ]\n< Michael likes Madrid. Michael likes Canberra. Michelle likes Beijing. >. Michael does not want to go to [ Beijing ]\n< Daniel likes Bangalore. Daniel likes Madrid. Sarah likes Pattaya. >. Daniel does not want to go to [ Pattaya ]\n< Sandra likes Bern. Kenneth likes Bangkok. Sandra likes Geneva. >. Sandra does not want to go to [ Bangkok ]\n< Elizabeth likes Kyoto. Elizabeth likes Sao Paulo. Anthony likes Rome. >. Elizabeth does not want to go to [ Rome ]\n"}
{"task_id": "task24", "texts": "\n< Ruth likes Canberra. Ronald likes Lyon. Ronald likes Incheon. >. Ronald does not long for Canberra\n< Charles likes Chiang Mai. Betty likes Hamburg. Betty likes Beijing. >. Betty does not long for Chiang Mai\n< Kevin likes Munich. Barbara likes Bras\u00edlia. Barbara likes Saint Petersburg. >. Barbara does not long for [ Munich ]\n< Edward likes Canberra. Dorothy likes Paris. Dorothy likes Barcelona. >. Dorothy does not long for [ Canberra ]\n< Mary likes Los Angeles. Thomas likes Florence. Thomas likes Vancouver. >. Thomas does not long for [ Los Angeles ]\n< James likes Kyoto. Linda likes Saint Petersburg. Linda likes Munich. >. Linda does not long for [ Kyoto ]\n< Donald likes Shanghai. Margaret likes Canberra. Margaret likes Marseille. >. Margaret does not long for [ Shanghai ]\n< Mark likes Munich. Patricia likes Incheon. Patricia likes Milan. >. Patricia does not long for [ Munich ]\n"}
{"task_id": "task24", "texts": "\n< William likes Bangkok. William likes Osaka. Elizabeth likes Bern. >. William does not want to go to Bern\n< Lisa likes New York. Lisa likes Madrid. George likes Incheon. >. Lisa does not want to go to Incheon\n< George likes Canberra. George likes Bras\u00edlia. Laura likes Munich. >. George does not want to go to [ Munich ]\n< Kimberly likes Seoul. John likes New Delhi. John likes Bern. >. John does not want to go to [ Seoul ]\n< Kenneth likes Barcelona. Michelle likes Sao Paulo. Michelle likes Busan. >. Michelle does not want to go to [ Barcelona ]\n< Karen likes Marseille. Anthony likes Busan. Karen likes Barcelona. >. Karen does not want to go to [ Busan ]\n< Michael likes Paris. Karen likes Rio de Janeiro. Michael likes Incheon. >. Michael does not want to go to [ Rio de Janeiro ]\n< Susan likes Paris. Thomas likes Mumbai. Susan likes Vancouver. >. Susan does not want to go to [ Mumbai ]\n"}
{"task_id": "task24", "texts": "\n< Laura likes New Delhi. Christopher likes Birmingham. Christopher likes Saint Petersburg. >. Christopher does not want to go to New Delhi\n< Maria likes Florence. Charles likes New York. Charles likes Sydney. >. Charles does not want to go to Florence\n< Daniel likes Moscow. Daniel likes Seoul. Sarah likes Novosibirsk. >. Daniel does not want to go to [ Novosibirsk ]\n< Donna likes Barcelona. James likes Busan. James likes Novosibirsk. >. James does not want to go to [ Barcelona ]\n< Dorothy likes Shanghai. Richard likes Bangkok. Richard likes Canberra. >. Richard does not want to go to [ Shanghai ]\n< Margaret likes Lyon. Margaret likes Zurich. Steven likes Guangzhou. >. Margaret does not want to go to [ Guangzhou ]\n< Jeff likes New Delhi. Sarah likes Saint Petersburg. Jeff likes Novosibirsk. >. Jeff does not want to go to [ Saint Petersburg ]\n< Maria likes Barcelona. Jason likes Guangzhou. Maria likes Vancouver. >. Maria does not want to go to [ Guangzhou ]\n"}
{"task_id": "task24", "texts": "\n< Paul likes Bangkok. Sandra likes Pattaya. Paul likes Chiang Mai. >. Paul does not yearn for Pattaya\n< Kenneth likes New Delhi. Kenneth likes Toronto. Ruth likes Novosibirsk. >. Kenneth does not yearn for Novosibirsk\n< Mark likes Seoul. Mark likes Manchester. Michelle likes Sydney. >. Mark does not yearn for [ Sydney ]\n< Michael likes Tokyo. Ruth likes Los Angeles. Michael likes Birmingham. >. Michael does not yearn for [ Los Angeles ]\n< Kevin likes New Delhi. Patricia likes Madrid. Patricia likes Zurich. >. Patricia does not yearn for [ New Delhi ]\n< William likes Valencia. Michelle likes Munich. Michelle likes Busan. >. Michelle does not yearn for [ Valencia ]\n< Lisa likes Washington, D.C. Ronald likes Birmingham. Ronald likes Paris. >. Ronald does not yearn for [ Washington, D.C ]\n< Michelle likes Rio de Janeiro. Joseph likes London. Michelle likes Pattaya. >. Michelle does not yearn for [ London ]\n"}
{"task_id": "task24", "texts": "\n< Richard likes Florence. Richard likes Washington, D.C. Linda likes Pattaya. >. Richard does not yearn for Pattaya\n< John likes Birmingham. Carol likes Saint Petersburg. John likes Sao Paulo. >. John does not yearn for Saint Petersburg\n< Jennifer likes Paris. Jennifer likes Bangalore. Charles likes Munich. >. Jennifer does not yearn for [ Munich ]\n< Anthony likes Rio de Janeiro. Dorothy likes London. Anthony likes Venice. >. Anthony does not yearn for [ London ]\n< Lisa likes Pattaya. Lisa likes Mumbai. Mark likes Seoul. >. Lisa does not yearn for [ Seoul ]\n< Kimberly likes Los Angeles. Kimberly likes Washington, D.C. Jeff likes Milan. >. Kimberly does not yearn for [ Milan ]\n< Sharon likes Venice. John likes Rome. John likes Valencia. >. John does not yearn for [ Venice ]\n< Edward likes Tokyo. Deborah likes Bangkok. Deborah likes Los Angeles. >. Deborah does not yearn for [ Tokyo ]\n"}
{"task_id": "task24", "texts": "\n< Steven likes Manchester. Steven likes Paris. Deborah likes Milan. >. Steven does not long for Milan\n< Mary likes Birmingham. Jason likes Toronto. Mary likes Vancouver. >. Mary does not long for Toronto\n< James likes Sao Paulo. James likes Berlin. Barbara likes Los Angeles. >. James does not long for [ Los Angeles ]\n< David likes Barcelona. Helen likes Lyon. Helen likes New Delhi. >. Helen does not long for [ Barcelona ]\n< Edward likes Valencia. Sandra likes Lyon. Edward likes Bangkok. >. Edward does not long for [ Lyon ]\n< Michael likes Marseille. Carol likes Geneva. Michael likes Berlin. >. Michael does not long for [ Geneva ]\n< Ronald likes Milan. Ronald likes Saint Petersburg. Margaret likes Geneva. >. Ronald does not long for [ Geneva ]\n< Maria likes Washington, D.C. Joseph likes Ottawa. Joseph likes Chiang Mai. >. Joseph does not long for [ Washington, D.C ]\n"}
{"task_id": "task24", "texts": "\n< Barbara likes Marseille. Ronald likes Tokyo. Ronald likes Mumbai. >. Ronald does not long for Marseille\n< Sandra likes Pattaya. David likes Paris. Sandra likes Kyoto. >. Sandra does not long for Paris\n< Sandra likes Washington, D.C. Sandra likes Geneva. Edward likes Lyon. >. Sandra does not long for [ Lyon ]\n< Elizabeth likes Sydney. Christopher likes Los Angeles. Elizabeth likes Moscow. >. Elizabeth does not long for [ Los Angeles ]\n< Brian likes Bangalore. Brian likes Busan. Susan likes Hamburg. >. Brian does not long for [ Hamburg ]\n< Richard likes Saint Petersburg. Richard likes Seoul. Betty likes Paris. >. Richard does not long for [ Paris ]\n< Laura likes Pattaya. Donald likes Birmingham. Donald likes Mumbai. >. Donald does not long for [ Pattaya ]\n< Margaret likes Pattaya. Margaret likes Chiang Mai. Robert likes Busan. >. Margaret does not long for [ Busan ]\n"}
{"task_id": "task24", "texts": "\n< Brian likes Rome. Mary likes Zurich. Mary likes Incheon. >. Mary does not want to visit Rome\n< John likes Paris. John likes Sao Paulo. Sharon likes Munich. >. John does not want to visit Munich\n< Betty likes Incheon. Anthony likes Mumbai. Betty likes New York. >. Betty does not want to visit [ Mumbai ]\n< Dorothy likes Osaka. Charles likes Brisbane. Dorothy likes Seoul. >. Dorothy does not want to visit [ Brisbane ]\n< Michelle likes Madrid. David likes Osaka. David likes Birmingham. >. David does not want to visit [ Madrid ]\n< David likes Seoul. Susan likes Florence. Susan likes Madrid. >. Susan does not want to visit [ Seoul ]\n< Robert likes Canberra. Mary likes Shanghai. Mary likes Novosibirsk. >. Mary does not want to visit [ Canberra ]\n< Linda likes Toronto. Linda likes Bangalore. George likes Incheon. >. Linda does not want to visit [ Incheon ]\n"}
{"task_id": "task24", "texts": "\n< John likes Rio de Janeiro. John likes Sao Paulo. Dorothy likes Milan. >. John does not want to visit Milan\n< Margaret likes Ottawa. Brian likes Sydney. Brian likes Zurich. >. Brian does not want to visit Ottawa\n< Michelle likes Hamburg. Mark likes Kyoto. Michelle likes Lyon. >. Michelle does not want to visit [ Kyoto ]\n< Kenneth likes Busan. Linda likes Madrid. Kenneth likes Bras\u00edlia. >. Kenneth does not want to visit [ Madrid ]\n< Deborah likes New York. Deborah likes Bras\u00edlia. Ronald likes Tokyo. >. Deborah does not want to visit [ Tokyo ]\n< Daniel likes Paris. Elizabeth likes Sydney. Elizabeth likes Ottawa. >. Elizabeth does not want to visit [ Paris ]\n< Sarah likes New Delhi. Mark likes Chiang Mai. Sarah likes Washington, D.C. >. Sarah does not want to visit [ Chiang Mai ]\n< Lisa likes Rio de Janeiro. David likes Toronto. David likes Pattaya. >. David does not want to visit [ Rio de Janeiro ]\n"}
{"task_id": "task24", "texts": "\n< Nancy likes Toronto. Michael likes Moscow. Nancy likes Lyon. >. Nancy does not want to visit Moscow\n< Susan likes Rio de Janeiro. Susan likes Mumbai. Daniel likes Shanghai. >. Susan does not want to visit Shanghai\n< Nancy likes Canberra. Thomas likes Pattaya. Thomas likes Rio de Janeiro. >. Thomas does not want to visit [ Canberra ]\n< Michelle likes Saint Petersburg. John likes New York. Michelle likes Sao Paulo. >. Michelle does not want to visit [ New York ]\n< Donna likes Munich. David likes Tokyo. Donna likes Washington, D.C. >. Donna does not want to visit [ Tokyo ]\n< James likes Bangkok. James likes Chiang Mai. Maria likes Florence. >. James does not want to visit [ Florence ]\n< Laura likes Sao Paulo. Laura likes Marseille. Mark likes Shanghai. >. Laura does not want to visit [ Shanghai ]\n< Margaret likes Ottawa. Richard likes Paris. Richard likes Florence. >. Richard does not want to visit [ Ottawa ]\n"}
{"task_id": "task25", "texts": "\n< Zurich attracts Ronald. Pattaya attracts Ronald. Lyon attracts Maria. >. Ronald does not long for Lyon\n< Mumbai attracts Kenneth. Bras\u00edlia attracts Nancy. Novosibirsk attracts Kenneth. >. Kenneth does not long for Bras\u00edlia\n< Manchester attracts Kenneth. Novosibirsk attracts Margaret. Washington, D.C attracts Kenneth. >. Kenneth does not long for [ Novosibirsk ]\n< Geneva attracts Karen. Rio de Janeiro attracts Jeff. Beijing attracts Jeff. >. Jeff does not long for [ Geneva ]\n< Barcelona attracts Laura. Saint Petersburg attracts Daniel. Sydney attracts Daniel. >. Daniel does not long for [ Barcelona ]\n< Sao Paulo attracts Barbara. Washington, D.C attracts Joseph. Los Angeles attracts Barbara. >. Barbara does not long for [ Washington, D.C ]\n< New Delhi attracts Daniel. London attracts Daniel. Tokyo attracts Susan. >. Daniel does not long for [ Tokyo ]\n< Bras\u00edlia attracts Kenneth. New York attracts Dorothy. Bangalore attracts Kenneth. >. Kenneth does not long for [ New York ]\n"}
{"task_id": "task25", "texts": "\n< Berlin attracts Kimberly. Ottawa attracts Anthony. Seoul attracts Kimberly. >. Kimberly does not want to go to Ottawa\n< New Delhi attracts Laura. Barcelona attracts Jason. Madrid attracts Jason. >. Jason does not want to go to New Delhi\n< Kyoto attracts Helen. Canberra attracts Helen. Paris attracts John. >. Helen does not want to go to [ Paris ]\n< Bangalore attracts Jennifer. Hamburg attracts David. Barcelona attracts David. >. David does not want to go to [ Bangalore ]\n< Madrid attracts Michael. Canberra attracts Michael. Beijing attracts Michelle. >. Michael does not want to go to [ Beijing ]\n< Bangalore attracts Daniel. Madrid attracts Daniel. Pattaya attracts Sarah. >. Daniel does not want to go to [ Pattaya ]\n< Bern attracts Sandra. Bangkok attracts Kenneth. Geneva attracts Sandra. >. Sandra does not want to go to [ Bangkok ]\n< Kyoto attracts Elizabeth. Sao Paulo attracts Elizabeth. Rome attracts Anthony. >. Elizabeth does not want to go to [ Rome ]\n"}
{"task_id": "task25", "texts": "\n< Canberra attracts Ruth. Lyon attracts Ronald. Incheon attracts Ronald. >. Ronald does not long for Canberra\n< Chiang Mai attracts Charles. Hamburg attracts Betty. Beijing attracts Betty. >. Betty does not long for Chiang Mai\n< Munich attracts Kevin. Bras\u00edlia attracts Barbara. Saint Petersburg attracts Barbara. >. Barbara does not long for [ Munich ]\n< Canberra attracts Edward. Paris attracts Dorothy. Barcelona attracts Dorothy. >. Dorothy does not long for [ Canberra ]\n< Los Angeles attracts Mary. Florence attracts Thomas. Vancouver attracts Thomas. >. Thomas does not long for [ Los Angeles ]\n< Kyoto attracts James. Saint Petersburg attracts Linda. Munich attracts Linda. >. Linda does not long for [ Kyoto ]\n< Shanghai attracts Donald. Canberra attracts Margaret. Marseille attracts Margaret. >. Margaret does not long for [ Shanghai ]\n< Munich attracts Mark. Incheon attracts Patricia. Milan attracts Patricia. >. Patricia does not long for [ Munich ]\n"}
{"task_id": "task25", "texts": "\n< Bangkok attracts William. Osaka attracts William. Bern attracts Elizabeth. >. William does not want to go to Bern\n< New York attracts Lisa. Madrid attracts Lisa. Incheon attracts George. >. Lisa does not want to go to Incheon\n< Canberra attracts George. Bras\u00edlia attracts George. Munich attracts Laura. >. George does not want to go to [ Munich ]\n< Seoul attracts Kimberly. New Delhi attracts John. Bern attracts John. >. John does not want to go to [ Seoul ]\n< Barcelona attracts Kenneth. Sao Paulo attracts Michelle. Busan attracts Michelle. >. Michelle does not want to go to [ Barcelona ]\n< Marseille attracts Karen. Busan attracts Anthony. Barcelona attracts Karen. >. Karen does not want to go to [ Busan ]\n< Paris attracts Michael. Rio de Janeiro attracts Karen. Incheon attracts Michael. >. Michael does not want to go to [ Rio de Janeiro ]\n< Paris attracts Susan. Mumbai attracts Thomas. Vancouver attracts Susan. >. Susan does not want to go to [ Mumbai ]\n"}
{"task_id": "task25", "texts": "\n< New Delhi attracts Laura. Birmingham attracts Christopher. Saint Petersburg attracts Christopher. >. Christopher does not want to go to New Delhi\n< Florence attracts Maria. New York attracts Charles. Sydney attracts Charles. >. Charles does not want to go to Florence\n< Moscow attracts Daniel. Seoul attracts Daniel. Novosibirsk attracts Sarah. >. Daniel does not want to go to [ Novosibirsk ]\n< Barcelona attracts Donna. Busan attracts James. Novosibirsk attracts James. >. James does not want to go to [ Barcelona ]\n< Shanghai attracts Dorothy. Bangkok attracts Richard. Canberra attracts Richard. >. Richard does not want to go to [ Shanghai ]\n< Lyon attracts Margaret. Zurich attracts Margaret. Guangzhou attracts Steven. >. Margaret does not want to go to [ Guangzhou ]\n< New Delhi attracts Jeff. Saint Petersburg attracts Sarah. Novosibirsk attracts Jeff. >. Jeff does not want to go to [ Saint Petersburg ]\n< Barcelona attracts Maria. Guangzhou attracts Jason. Vancouver attracts Maria. >. Maria does not want to go to [ Guangzhou ]\n"}
{"task_id": "task25", "texts": "\n< Bangkok attracts Paul. Pattaya attracts Sandra. Chiang Mai attracts Paul. >. Paul does not yearn for Pattaya\n< New Delhi attracts Kenneth. Toronto attracts Kenneth. Novosibirsk attracts Ruth. >. Kenneth does not yearn for Novosibirsk\n< Seoul attracts Mark. Manchester attracts Mark. Sydney attracts Michelle. >. Mark does not yearn for [ Sydney ]\n< Tokyo attracts Michael. Los Angeles attracts Ruth. Birmingham attracts Michael. >. Michael does not yearn for [ Los Angeles ]\n< New Delhi attracts Kevin. Madrid attracts Patricia. Zurich attracts Patricia. >. Patricia does not yearn for [ New Delhi ]\n< Valencia attracts William. Munich attracts Michelle. Busan attracts Michelle. >. Michelle does not yearn for [ Valencia ]\n< Washington, D.C attracts Lisa. Birmingham attracts Ronald. Paris attracts Ronald. >. Ronald does not yearn for [ Washington, D.C ]\n< Rio de Janeiro attracts Michelle. London attracts Joseph. Pattaya attracts Michelle. >. Michelle does not yearn for [ London ]\n"}
{"task_id": "task25", "texts": "\n< Florence attracts Richard. Washington, D.C attracts Richard. Pattaya attracts Linda. >. Richard does not yearn for Pattaya\n< Birmingham attracts John. Saint Petersburg attracts Carol. Sao Paulo attracts John. >. John does not yearn for Saint Petersburg\n< Paris attracts Jennifer. Bangalore attracts Jennifer. Munich attracts Charles. >. Jennifer does not yearn for [ Munich ]\n< Rio de Janeiro attracts Anthony. London attracts Dorothy. Venice attracts Anthony. >. Anthony does not yearn for [ London ]\n< Pattaya attracts Lisa. Mumbai attracts Lisa. Seoul attracts Mark. >. Lisa does not yearn for [ Seoul ]\n< Los Angeles attracts Kimberly. Washington, D.C attracts Kimberly. Milan attracts Jeff. >. Kimberly does not yearn for [ Milan ]\n< Venice attracts Sharon. Rome attracts John. Valencia attracts John. >. John does not yearn for [ Venice ]\n< Tokyo attracts Edward. Bangkok attracts Deborah. Los Angeles attracts Deborah. >. Deborah does not yearn for [ Tokyo ]\n"}
{"task_id": "task25", "texts": "\n< Manchester attracts Steven. Paris attracts Steven. Milan attracts Deborah. >. Steven does not long for Milan\n< Birmingham attracts Mary. Toronto attracts Jason. Vancouver attracts Mary. >. Mary does not long for Toronto\n< Sao Paulo attracts James. Berlin attracts James. Los Angeles attracts Barbara. >. James does not long for [ Los Angeles ]\n< Barcelona attracts David. Lyon attracts Helen. New Delhi attracts Helen. >. Helen does not long for [ Barcelona ]\n< Valencia attracts Edward. Lyon attracts Sandra. Bangkok attracts Edward. >. Edward does not long for [ Lyon ]\n< Marseille attracts Michael. Geneva attracts Carol. Berlin attracts Michael. >. Michael does not long for [ Geneva ]\n< Milan attracts Ronald. Saint Petersburg attracts Ronald. Geneva attracts Margaret. >. Ronald does not long for [ Geneva ]\n< Washington, D.C attracts Maria. Ottawa attracts Joseph. Chiang Mai attracts Joseph. >. Joseph does not long for [ Washington, D.C ]\n"}
{"task_id": "task25", "texts": "\n< Marseille attracts Barbara. Tokyo attracts Ronald. Mumbai attracts Ronald. >. Ronald does not long for Marseille\n< Pattaya attracts Sandra. Paris attracts David. Kyoto attracts Sandra. >. Sandra does not long for Paris\n< Washington, D.C attracts Sandra. Geneva attracts Sandra. Lyon attracts Edward. >. Sandra does not long for [ Lyon ]\n< Sydney attracts Elizabeth. Los Angeles attracts Christopher. Moscow attracts Elizabeth. >. Elizabeth does not long for [ Los Angeles ]\n< Bangalore attracts Brian. Busan attracts Brian. Hamburg attracts Susan. >. Brian does not long for [ Hamburg ]\n< Saint Petersburg attracts Richard. Seoul attracts Richard. Paris attracts Betty. >. Richard does not long for [ Paris ]\n< Pattaya attracts Laura. Birmingham attracts Donald. Mumbai attracts Donald. >. Donald does not long for [ Pattaya ]\n< Pattaya attracts Margaret. Chiang Mai attracts Margaret. Busan attracts Robert. >. Margaret does not long for [ Busan ]\n"}
{"task_id": "task25", "texts": "\n< Rome attracts Brian. Zurich attracts Mary. Incheon attracts Mary. >. Mary does not want to visit Rome\n< Paris attracts John. Sao Paulo attracts John. Munich attracts Sharon. >. John does not want to visit Munich\n< Incheon attracts Betty. Mumbai attracts Anthony. New York attracts Betty. >. Betty does not want to visit [ Mumbai ]\n< Osaka attracts Dorothy. Brisbane attracts Charles. Seoul attracts Dorothy. >. Dorothy does not want to visit [ Brisbane ]\n< Madrid attracts Michelle. Osaka attracts David. Birmingham attracts David. >. David does not want to visit [ Madrid ]\n< Seoul attracts David. Florence attracts Susan. Madrid attracts Susan. >. Susan does not want to visit [ Seoul ]\n< Canberra attracts Robert. Shanghai attracts Mary. Novosibirsk attracts Mary. >. Mary does not want to visit [ Canberra ]\n< Toronto attracts Linda. Bangalore attracts Linda. Incheon attracts George. >. Linda does not want to visit [ Incheon ]\n"}
{"task_id": "task25", "texts": "\n< Rio de Janeiro attracts John. Sao Paulo attracts John. Milan attracts Dorothy. >. John does not want to visit Milan\n< Ottawa attracts Margaret. Sydney attracts Brian. Zurich attracts Brian. >. Brian does not want to visit Ottawa\n< Hamburg attracts Michelle. Kyoto attracts Mark. Lyon attracts Michelle. >. Michelle does not want to visit [ Kyoto ]\n< Busan attracts Kenneth. Madrid attracts Linda. Bras\u00edlia attracts Kenneth. >. Kenneth does not want to visit [ Madrid ]\n< New York attracts Deborah. Bras\u00edlia attracts Deborah. Tokyo attracts Ronald. >. Deborah does not want to visit [ Tokyo ]\n< Paris attracts Daniel. Sydney attracts Elizabeth. Ottawa attracts Elizabeth. >. Elizabeth does not want to visit [ Paris ]\n< New Delhi attracts Sarah. Chiang Mai attracts Mark. Washington, D.C attracts Sarah. >. Sarah does not want to visit [ Chiang Mai ]\n< Rio de Janeiro attracts Lisa. Toronto attracts David. Pattaya attracts David. >. David does not want to visit [ Rio de Janeiro ]\n"}
{"task_id": "task25", "texts": "\n< Toronto attracts Nancy. Moscow attracts Michael. Lyon attracts Nancy. >. Nancy does not want to visit Moscow\n< Rio de Janeiro attracts Susan. Mumbai attracts Susan. Shanghai attracts Daniel. >. Susan does not want to visit Shanghai\n< Canberra attracts Nancy. Pattaya attracts Thomas. Rio de Janeiro attracts Thomas. >. Thomas does not want to visit [ Canberra ]\n< Saint Petersburg attracts Michelle. New York attracts John. Sao Paulo attracts Michelle. >. Michelle does not want to visit [ New York ]\n< Munich attracts Donna. Tokyo attracts David. Washington, D.C attracts Donna. >. Donna does not want to visit [ Tokyo ]\n< Bangkok attracts James. Chiang Mai attracts James. Florence attracts Maria. >. James does not want to visit [ Florence ]\n< Sao Paulo attracts Laura. Marseille attracts Laura. Shanghai attracts Mark. >. Laura does not want to visit [ Shanghai ]\n< Ottawa attracts Margaret. Paris attracts Richard. Florence attracts Richard. >. Richard does not want to visit [ Ottawa ]\n"}
{"task_id": "task26", "texts": "\n< Anthony likes Venice. Kimberly likes Bras\u00edlia. Sandra likes Sydney. >. Anthony wants to visit Venice\n< Deborah likes Barcelona. Daniel likes Saint Petersburg. Edward likes Sydney. >. Deborah wants to visit Barcelona\n< Brian likes Shanghai. Barbara likes Mumbai. Anthony likes Bern. >. Barbara wants to visit [ Mumbai ]\n< George likes Osaka. Richard likes Seoul. Karen likes Washington, D.C. >. George wants to visit [ Osaka ]\n< William likes Canberra. Steven likes Madrid. Dorothy likes Manchester. >. Steven wants to visit [ Madrid ]\n< Carol likes Vancouver. Kevin likes Osaka. Karen likes Incheon. >. Karen wants to visit [ Incheon ]\n< Mark likes Canberra. Steven likes Munich. Linda likes Ottawa. >. Mark wants to visit [ Canberra ]\n< Lisa likes Saint Petersburg. Patricia likes Milan. Donald likes Tokyo. >. Donald wants to visit [ Tokyo ]\n"}
{"task_id": "task26", "texts": "\n< Michelle likes Chiang Mai. Sandra likes Canberra. Ronald likes Kyoto. >. Michelle wants to go to Chiang Mai\n< George likes Valencia. Robert likes Paris. Steven likes Venice. >. Steven wants to go to Venice\n< George likes Mumbai. Edward likes Tokyo. Carol likes Bern. >. Edward wants to go to [ Tokyo ]\n< Charles likes Manchester. Ronald likes Bangalore. Sarah likes Mumbai. >. Charles wants to go to [ Manchester ]\n< Dorothy likes Seoul. Joseph likes Sydney. Ruth likes Birmingham. >. Joseph wants to go to [ Sydney ]\n< Barbara likes Zurich. Karen likes Sydney. James likes Bras\u00edlia. >. James wants to go to [ Bras\u00edlia ]\n< Robert likes Seoul. Michelle likes London. Brian likes Pattaya. >. Brian wants to go to [ Pattaya ]\n< Edward likes Zurich. Mark likes Geneva. Helen likes Toronto. >. Helen wants to go to [ Toronto ]\n"}
{"task_id": "task26", "texts": "\n< Sharon likes Incheon. Joseph likes Manchester. Michelle likes New York. >. Joseph wants to visit Manchester\n< Lisa likes Milan. Christopher likes Busan. Jason likes Canberra. >. Lisa wants to visit Milan\n< Robert likes Milan. Sarah likes Shanghai. Michael likes Novosibirsk. >. Sarah wants to visit [ Shanghai ]\n< Jeff likes Florence. Christopher likes Lyon. Kimberly likes Ottawa. >. Kimberly wants to visit [ Ottawa ]\n< Ronald likes Bras\u00edlia. Mark likes Busan. Mary likes Chiang Mai. >. Mary wants to visit [ Chiang Mai ]\n< Christopher likes Munich. Charles likes Moscow. Richard likes Mumbai. >. Charles wants to visit [ Moscow ]\n< Dorothy likes Osaka. Joseph likes Florence. Sandra likes Seoul. >. Joseph wants to visit [ Florence ]\n< Dorothy likes Berlin. Nancy likes Rio de Janeiro. Jason likes Birmingham. >. Dorothy wants to visit [ Berlin ]\n"}
{"task_id": "task26", "texts": "\n< Nancy likes Saint Petersburg. Mark likes Pattaya. David likes New York. >. Mark yearns for Pattaya\n< Betty likes Sydney. John likes Tokyo. Mary likes Barcelona. >. Mary yearns for Barcelona\n< Deborah likes Bern. Mary likes Shanghai. William likes Sydney. >. William yearns for [ Sydney ]\n< Sharon likes Sydney. Deborah likes Shanghai. David likes Washington, D.C. >. Deborah yearns for [ Shanghai ]\n< Robert likes Shanghai. Michelle likes Marseille. Brian likes Mumbai. >. Michelle yearns for [ Marseille ]\n< Elizabeth likes Bras\u00edlia. Daniel likes Milan. Ronald likes Rio de Janeiro. >. Ronald yearns for [ Rio de Janeiro ]\n< James likes Bangkok. Nancy likes Moscow. Daniel likes Washington, D.C. >. James yearns for [ Bangkok ]\n< Sarah likes Canberra. Michelle likes Paris. Lisa likes Barcelona. >. Sarah yearns for [ Canberra ]\n"}
{"task_id": "task26", "texts": "\n< Steven likes Sao Paulo. Mark likes Geneva. Donald likes Ottawa. >. Steven wants to go to Sao Paulo\n< Maria likes Shanghai. Patricia likes Canberra. Elizabeth likes Marseille. >. Maria wants to go to Shanghai\n< Lisa likes Brisbane. Sharon likes Marseille. Patricia likes Busan. >. Patricia wants to go to [ Busan ]\n< Linda likes Saint Petersburg. Sharon likes Paris. William likes Toronto. >. William wants to go to [ Toronto ]\n< Kevin likes Brisbane. Charles likes Tokyo. William likes Rio de Janeiro. >. Kevin wants to go to [ Brisbane ]\n< Karen likes Los Angeles. Jason likes Tokyo. Richard likes Madrid. >. Richard wants to go to [ Madrid ]\n< Ronald likes Kyoto. Mary likes Washington, D.C. Karen likes Sydney. >. Mary wants to go to [ Washington, D.C ]\n< Sandra likes Bangkok. Deborah likes Rio de Janeiro. Jason likes Novosibirsk. >. Deborah wants to go to [ Rio de Janeiro ]\n"}
{"task_id": "task26", "texts": "\n< Sarah likes Munich. Margaret likes Rio de Janeiro. Daniel likes Marseille. >. Daniel wants to visit Marseille\n< Dorothy likes Canberra. Daniel likes Hamburg. Nancy likes Bern. >. Daniel wants to visit Hamburg\n< Mark likes Paris. Ronald likes Beijing. Carol likes Zurich. >. Carol wants to visit [ Zurich ]\n< Thomas likes Canberra. Laura likes Lyon. Donald likes Incheon. >. Laura wants to visit [ Lyon ]\n< Mary likes Geneva. William likes Bern. Dorothy likes Birmingham. >. William wants to visit [ Bern ]\n< Donna likes Chiang Mai. James likes Osaka. Helen likes Valencia. >. Donna wants to visit [ Chiang Mai ]\n< Margaret likes Bangkok. Thomas likes Bras\u00edlia. Kimberly likes Guangzhou. >. Margaret wants to visit [ Bangkok ]\n< Kevin likes New York. Richard likes Guangzhou. Sandra likes Shanghai. >. Kevin wants to visit [ New York ]\n"}
{"task_id": "task26", "texts": "\n< Sarah likes Chiang Mai. Ronald likes Birmingham. Betty likes Manchester. >. Sarah yearns for Chiang Mai\n< Linda likes Novosibirsk. Daniel likes Barcelona. Joseph likes Seoul. >. Daniel yearns for Barcelona\n< Maria likes Madrid. Mark likes Canberra. Christopher likes Florence. >. Maria yearns for [ Madrid ]\n< Steven likes Chiang Mai. George likes Kyoto. Edward likes Pattaya. >. George yearns for [ Kyoto ]\n< Ronald likes Washington, D.C. Deborah likes Bangalore. Kenneth likes Vancouver. >. Kenneth yearns for [ Vancouver ]\n< Daniel likes Mumbai. Charles likes Sydney. Laura likes Beijing. >. Laura yearns for [ Beijing ]\n< Sharon likes Florence. George likes Valencia. Lisa likes Geneva. >. George yearns for [ Valencia ]\n< Helen likes Tokyo. Sarah likes Chiang Mai. Ruth likes Valencia. >. Sarah yearns for [ Chiang Mai ]\n"}
{"task_id": "task26", "texts": "\n< Ronald likes Valencia. Carol likes Venice. Kenneth likes Geneva. >. Carol yearns for Venice\n< Margaret likes Rome. Sandra likes Munich. Lisa likes Hamburg. >. Margaret yearns for Rome\n< Brian likes London. Anthony likes Madrid. Betty likes Kyoto. >. Betty yearns for [ Kyoto ]\n< Daniel likes Tokyo. Karen likes Pattaya. Ruth likes Saint Petersburg. >. Karen yearns for [ Pattaya ]\n< Anthony likes Rio de Janeiro. Susan likes London. Ruth likes Venice. >. Susan yearns for [ London ]\n< Sarah likes Incheon. Ruth likes Lyon. Lisa likes Los Angeles. >. Lisa yearns for [ Los Angeles ]\n< Robert likes Hamburg. Ronald likes Venice. Anthony likes Saint Petersburg. >. Anthony yearns for [ Saint Petersburg ]\n< Jason likes Washington, D.C. Sarah likes Tokyo. Karen likes Bangkok. >. Jason yearns for [ Washington, D.C ]\n"}
{"task_id": "task26", "texts": "\n< Lisa likes Pattaya. Donald likes Geneva. Sharon likes Seoul. >. Sharon longs for Seoul\n< Carol likes Birmingham. Steven likes Rome. James likes Marseille. >. Carol longs for Birmingham\n< Linda likes Guangzhou. Charles likes Osaka. Mary likes Novosibirsk. >. Charles longs for [ Osaka ]\n< William likes Manchester. Karen likes Shanghai. Jennifer likes Rome. >. William longs for [ Manchester ]\n< Joseph likes Marseille. John likes Geneva. Daniel likes Berlin. >. John longs for [ Geneva ]\n< Laura likes Canberra. Donna likes London. Ronald likes Milan. >. Ronald longs for [ Milan ]\n< Carol likes Bangkok. Deborah likes Barcelona. Betty likes Rio de Janeiro. >. Carol longs for [ Bangkok ]\n< Anthony likes Brisbane. Maria likes Geneva. Ronald likes Florence. >. Anthony longs for [ Brisbane ]\n"}
{"task_id": "task26", "texts": "\n< Carol likes Bangalore. Patricia likes Lyon. John likes Rio de Janeiro. >. John yearns for Rio de Janeiro\n< Richard likes Canberra. John likes Bras\u00edlia. Dorothy likes Barcelona. >. Richard yearns for Canberra\n< Kimberly likes Rio de Janeiro. Jeff likes Osaka. Thomas likes Manchester. >. Jeff yearns for [ Osaka ]\n< Thomas likes Marseille. Carol likes Birmingham. Ruth likes Bangalore. >. Thomas yearns for [ Marseille ]\n< Ruth likes Florence. Kenneth likes Shanghai. Margaret likes Zurich. >. Margaret yearns for [ Zurich ]\n< Paul likes Manchester. Deborah likes Osaka. Kevin likes Geneva. >. Deborah yearns for [ Osaka ]\n< Carol likes Moscow. Robert likes Hamburg. Anthony likes Guangzhou. >. Carol yearns for [ Moscow ]\n< Sharon likes Valencia. Laura likes Busan. Kevin likes Florence. >. Sharon yearns for [ Valencia ]\n"}
{"task_id": "task26", "texts": "\n< Sarah likes Milan. Michelle likes Incheon. Thomas likes Saint Petersburg. >. Michelle wants to go to Incheon\n< William likes Canberra. Patricia likes London. Daniel likes Tokyo. >. William wants to go to Canberra\n< Michael likes Novosibirsk. Karen likes Zurich. Thomas likes Bern. >. Michael wants to go to [ Novosibirsk ]\n< Donna likes Marseille. David likes Toronto. Jennifer likes Tokyo. >. David wants to go to [ Toronto ]\n< Richard likes Florence. Anthony likes Hamburg. Mark likes Tokyo. >. Richard wants to go to [ Florence ]\n< Donna likes Hamburg. Michelle likes Venice. Ronald likes Birmingham. >. Ronald wants to go to [ Birmingham ]\n< Nancy likes Bern. Carol likes Birmingham. Christopher likes Bras\u00edlia. >. Carol wants to go to [ Birmingham ]\n< Jennifer likes New Delhi. Robert likes Moscow. William likes Zurich. >. William wants to go to [ Zurich ]\n"}
{"task_id": "task26", "texts": "\n< Edward likes Novosibirsk. Sharon likes Chiang Mai. William likes Bras\u00edlia. >. Sharon wants to go to Chiang Mai\n< Christopher likes Beijing. Paul likes Bangalore. Nancy likes New Delhi. >. Christopher wants to go to Beijing\n< Kenneth likes Milan. Margaret likes Ottawa. Nancy likes New York. >. Margaret wants to go to [ Ottawa ]\n< Karen likes Zurich. James likes Bangalore. Jason likes Munich. >. James wants to go to [ Bangalore ]\n< Thomas likes Barcelona. Charles likes Sydney. Maria likes Canberra. >. Charles wants to go to [ Sydney ]\n< Joseph likes Barcelona. Elizabeth likes New York. Michael likes Berlin. >. Joseph wants to go to [ Barcelona ]\n< Kevin likes Hamburg. Kenneth likes Incheon. Brian likes Barcelona. >. Brian wants to go to [ Barcelona ]\n< Dorothy likes Sao Paulo. Laura likes Tokyo. Donna likes Rio de Janeiro. >. Donna wants to go to [ Rio de Janeiro ]\n"}
{"task_id": "task27", "texts": "\n< Venice attracts Anthony. Bras\u00edlia attracts Kimberly. Sydney attracts Sandra. >. Anthony wants to visit Venice\n< Barcelona attracts Deborah. Saint Petersburg attracts Daniel. Sydney attracts Edward. >. Deborah wants to visit Barcelona\n< Shanghai attracts Brian. Mumbai attracts Barbara. Bern attracts Anthony. >. Barbara wants to visit [ Mumbai ]\n< Osaka attracts George. Seoul attracts Richard. Washington, D.C attracts Karen. >. George wants to visit [ Osaka ]\n< Canberra attracts William. Madrid attracts Steven. Manchester attracts Dorothy. >. Steven wants to visit [ Madrid ]\n< Vancouver attracts Carol. Osaka attracts Kevin. Incheon attracts Karen. >. Karen wants to visit [ Incheon ]\n< Canberra attracts Mark. Munich attracts Steven. Ottawa attracts Linda. >. Mark wants to visit [ Canberra ]\n< Saint Petersburg attracts Lisa. Milan attracts Patricia. Tokyo attracts Donald. >. Donald wants to visit [ Tokyo ]\n"}
{"task_id": "task27", "texts": "\n< Chiang Mai attracts Michelle. Canberra attracts Sandra. Kyoto attracts Ronald. >. Michelle wants to go to Chiang Mai\n< Valencia attracts George. Paris attracts Robert. Venice attracts Steven. >. Steven wants to go to Venice\n< Mumbai attracts George. Tokyo attracts Edward. Bern attracts Carol. >. Edward wants to go to [ Tokyo ]\n< Manchester attracts Charles. Bangalore attracts Ronald. Mumbai attracts Sarah. >. Charles wants to go to [ Manchester ]\n< Seoul attracts Dorothy. Sydney attracts Joseph. Birmingham attracts Ruth. >. Joseph wants to go to [ Sydney ]\n< Zurich attracts Barbara. Sydney attracts Karen. Bras\u00edlia attracts James. >. James wants to go to [ Bras\u00edlia ]\n< Seoul attracts Robert. London attracts Michelle. Pattaya attracts Brian. >. Brian wants to go to [ Pattaya ]\n< Zurich attracts Edward. Geneva attracts Mark. Toronto attracts Helen. >. Helen wants to go to [ Toronto ]\n"}
{"task_id": "task27", "texts": "\n< Incheon attracts Sharon. Manchester attracts Joseph. New York attracts Michelle. >. Joseph wants to visit Manchester\n< Milan attracts Lisa. Busan attracts Christopher. Canberra attracts Jason. >. Lisa wants to visit Milan\n< Milan attracts Robert. Shanghai attracts Sarah. Novosibirsk attracts Michael. >. Sarah wants to visit [ Shanghai ]\n< Florence attracts Jeff. Lyon attracts Christopher. Ottawa attracts Kimberly. >. Kimberly wants to visit [ Ottawa ]\n< Bras\u00edlia attracts Ronald. Busan attracts Mark. Chiang Mai attracts Mary. >. Mary wants to visit [ Chiang Mai ]\n< Munich attracts Christopher. Moscow attracts Charles. Mumbai attracts Richard. >. Charles wants to visit [ Moscow ]\n< Osaka attracts Dorothy. Florence attracts Joseph. Seoul attracts Sandra. >. Joseph wants to visit [ Florence ]\n< Berlin attracts Dorothy. Rio de Janeiro attracts Nancy. Birmingham attracts Jason. >. Dorothy wants to visit [ Berlin ]\n"}
{"task_id": "task27", "texts": "\n< Saint Petersburg attracts Nancy. Pattaya attracts Mark. New York attracts David. >. Mark yearns for Pattaya\n< Sydney attracts Betty. Tokyo attracts John. Barcelona attracts Mary. >. Mary yearns for Barcelona\n< Bern attracts Deborah. Shanghai attracts Mary. Sydney attracts William. >. William yearns for [ Sydney ]\n< Sydney attracts Sharon. Shanghai attracts Deborah. Washington, D.C attracts David. >. Deborah yearns for [ Shanghai ]\n< Shanghai attracts Robert. Marseille attracts Michelle. Mumbai attracts Brian. >. Michelle yearns for [ Marseille ]\n< Bras\u00edlia attracts Elizabeth. Milan attracts Daniel. Rio de Janeiro attracts Ronald. >. Ronald yearns for [ Rio de Janeiro ]\n< Bangkok attracts James. Moscow attracts Nancy. Washington, D.C attracts Daniel. >. James yearns for [ Bangkok ]\n< Canberra attracts Sarah. Paris attracts Michelle. Barcelona attracts Lisa. >. Sarah yearns for [ Canberra ]\n"}
{"task_id": "task27", "texts": "\n< Sao Paulo attracts Steven. Geneva attracts Mark. Ottawa attracts Donald. >. Steven wants to go to Sao Paulo\n< Shanghai attracts Maria. Canberra attracts Patricia. Marseille attracts Elizabeth. >. Maria wants to go to Shanghai\n< Brisbane attracts Lisa. Marseille attracts Sharon. Busan attracts Patricia. >. Patricia wants to go to [ Busan ]\n< Saint Petersburg attracts Linda. Paris attracts Sharon. Toronto attracts William. >. William wants to go to [ Toronto ]\n< Brisbane attracts Kevin. Tokyo attracts Charles. Rio de Janeiro attracts William. >. Kevin wants to go to [ Brisbane ]\n< Los Angeles attracts Karen. Tokyo attracts Jason. Madrid attracts Richard. >. Richard wants to go to [ Madrid ]\n< Kyoto attracts Ronald. Washington, D.C attracts Mary. Sydney attracts Karen. >. Mary wants to go to [ Washington, D.C ]\n< Bangkok attracts Sandra. Rio de Janeiro attracts Deborah. Novosibirsk attracts Jason. >. Deborah wants to go to [ Rio de Janeiro ]\n"}
{"task_id": "task27", "texts": "\n< Munich attracts Sarah. Rio de Janeiro attracts Margaret. Marseille attracts Daniel. >. Daniel wants to visit Marseille\n< Canberra attracts Dorothy. Hamburg attracts Daniel. Bern attracts Nancy. >. Daniel wants to visit Hamburg\n< Paris attracts Mark. Beijing attracts Ronald. Zurich attracts Carol. >. Carol wants to visit [ Zurich ]\n< Canberra attracts Thomas. Lyon attracts Laura. Incheon attracts Donald. >. Laura wants to visit [ Lyon ]\n< Geneva attracts Mary. Bern attracts William. Birmingham attracts Dorothy. >. William wants to visit [ Bern ]\n< Chiang Mai attracts Donna. Osaka attracts James. Valencia attracts Helen. >. Donna wants to visit [ Chiang Mai ]\n< Bangkok attracts Margaret. Bras\u00edlia attracts Thomas. Guangzhou attracts Kimberly. >. Margaret wants to visit [ Bangkok ]\n< New York attracts Kevin. Guangzhou attracts Richard. Shanghai attracts Sandra. >. Kevin wants to visit [ New York ]\n"}
{"task_id": "task27", "texts": "\n< Chiang Mai attracts Sarah. Birmingham attracts Ronald. Manchester attracts Betty. >. Sarah yearns for Chiang Mai\n< Novosibirsk attracts Linda. Barcelona attracts Daniel. Seoul attracts Joseph. >. Daniel yearns for Barcelona\n< Madrid attracts Maria. Canberra attracts Mark. Florence attracts Christopher. >. Maria yearns for [ Madrid ]\n< Chiang Mai attracts Steven. Kyoto attracts George. Pattaya attracts Edward. >. George yearns for [ Kyoto ]\n< Washington, D.C attracts Ronald. Bangalore attracts Deborah. Vancouver attracts Kenneth. >. Kenneth yearns for [ Vancouver ]\n< Mumbai attracts Daniel. Sydney attracts Charles. Beijing attracts Laura. >. Laura yearns for [ Beijing ]\n< Florence attracts Sharon. Valencia attracts George. Geneva attracts Lisa. >. George yearns for [ Valencia ]\n< Tokyo attracts Helen. Chiang Mai attracts Sarah. Valencia attracts Ruth. >. Sarah yearns for [ Chiang Mai ]\n"}
{"task_id": "task27", "texts": "\n< Valencia attracts Ronald. Venice attracts Carol. Geneva attracts Kenneth. >. Carol yearns for Venice\n< Rome attracts Margaret. Munich attracts Sandra. Hamburg attracts Lisa. >. Margaret yearns for Rome\n< London attracts Brian. Madrid attracts Anthony. Kyoto attracts Betty. >. Betty yearns for [ Kyoto ]\n< Tokyo attracts Daniel. Pattaya attracts Karen. Saint Petersburg attracts Ruth. >. Karen yearns for [ Pattaya ]\n< Rio de Janeiro attracts Anthony. London attracts Susan. Venice attracts Ruth. >. Susan yearns for [ London ]\n< Incheon attracts Sarah. Lyon attracts Ruth. Los Angeles attracts Lisa. >. Lisa yearns for [ Los Angeles ]\n< Hamburg attracts Robert. Venice attracts Ronald. Saint Petersburg attracts Anthony. >. Anthony yearns for [ Saint Petersburg ]\n< Washington, D.C attracts Jason. Tokyo attracts Sarah. Bangkok attracts Karen. >. Jason yearns for [ Washington, D.C ]\n"}
{"task_id": "task27", "texts": "\n< Pattaya attracts Lisa. Geneva attracts Donald. Seoul attracts Sharon. >. Sharon longs for Seoul\n< Birmingham attracts Carol. Rome attracts Steven. Marseille attracts James. >. Carol longs for Birmingham\n< Guangzhou attracts Linda. Osaka attracts Charles. Novosibirsk attracts Mary. >. Charles longs for [ Osaka ]\n< Manchester attracts William. Shanghai attracts Karen. Rome attracts Jennifer. >. William longs for [ Manchester ]\n< Marseille attracts Joseph. Geneva attracts John. Berlin attracts Daniel. >. John longs for [ Geneva ]\n< Canberra attracts Laura. London attracts Donna. Milan attracts Ronald. >. Ronald longs for [ Milan ]\n< Bangkok attracts Carol. Barcelona attracts Deborah. Rio de Janeiro attracts Betty. >. Carol longs for [ Bangkok ]\n< Brisbane attracts Anthony. Geneva attracts Maria. Florence attracts Ronald. >. Anthony longs for [ Brisbane ]\n"}
{"task_id": "task27", "texts": "\n< Bangalore attracts Carol. Lyon attracts Patricia. Rio de Janeiro attracts John. >. John yearns for Rio de Janeiro\n< Canberra attracts Richard. Bras\u00edlia attracts John. Barcelona attracts Dorothy. >. Richard yearns for Canberra\n< Rio de Janeiro attracts Kimberly. Osaka attracts Jeff. Manchester attracts Thomas. >. Jeff yearns for [ Osaka ]\n< Marseille attracts Thomas. Birmingham attracts Carol. Bangalore attracts Ruth. >. Thomas yearns for [ Marseille ]\n< Florence attracts Ruth. Shanghai attracts Kenneth. Zurich attracts Margaret. >. Margaret yearns for [ Zurich ]\n< Manchester attracts Paul. Osaka attracts Deborah. Geneva attracts Kevin. >. Deborah yearns for [ Osaka ]\n< Moscow attracts Carol. Hamburg attracts Robert. Guangzhou attracts Anthony. >. Carol yearns for [ Moscow ]\n< Valencia attracts Sharon. Busan attracts Laura. Florence attracts Kevin. >. Sharon yearns for [ Valencia ]\n"}
{"task_id": "task27", "texts": "\n< Milan attracts Sarah. Incheon attracts Michelle. Saint Petersburg attracts Thomas. >. Michelle wants to go to Incheon\n< Canberra attracts William. London attracts Patricia. Tokyo attracts Daniel. >. William wants to go to Canberra\n< Novosibirsk attracts Michael. Zurich attracts Karen. Bern attracts Thomas. >. Michael wants to go to [ Novosibirsk ]\n< Marseille attracts Donna. Toronto attracts David. Tokyo attracts Jennifer. >. David wants to go to [ Toronto ]\n< Florence attracts Richard. Hamburg attracts Anthony. Tokyo attracts Mark. >. Richard wants to go to [ Florence ]\n< Hamburg attracts Donna. Venice attracts Michelle. Birmingham attracts Ronald. >. Ronald wants to go to [ Birmingham ]\n< Bern attracts Nancy. Birmingham attracts Carol. Bras\u00edlia attracts Christopher. >. Carol wants to go to [ Birmingham ]\n< New Delhi attracts Jennifer. Moscow attracts Robert. Zurich attracts William. >. William wants to go to [ Zurich ]\n"}
{"task_id": "task27", "texts": "\n< Novosibirsk attracts Edward. Chiang Mai attracts Sharon. Bras\u00edlia attracts William. >. Sharon wants to go to Chiang Mai\n< Beijing attracts Christopher. Bangalore attracts Paul. New Delhi attracts Nancy. >. Christopher wants to go to Beijing\n< Milan attracts Kenneth. Ottawa attracts Margaret. New York attracts Nancy. >. Margaret wants to go to [ Ottawa ]\n< Zurich attracts Karen. Bangalore attracts James. Munich attracts Jason. >. James wants to go to [ Bangalore ]\n< Barcelona attracts Thomas. Sydney attracts Charles. Canberra attracts Maria. >. Charles wants to go to [ Sydney ]\n< Barcelona attracts Joseph. New York attracts Elizabeth. Berlin attracts Michael. >. Joseph wants to go to [ Barcelona ]\n< Hamburg attracts Kevin. Incheon attracts Kenneth. Barcelona attracts Brian. >. Brian wants to go to [ Barcelona ]\n< Sao Paulo attracts Dorothy. Tokyo attracts Laura. Rio de Janeiro attracts Donna. >. Donna wants to go to [ Rio de Janeiro ]\n"}
{"task_id": "task28", "texts": "\n< Nancy likes Osaka. Betty likes Osaka. William likes Sydney. >. Who does not long for Osaka? William\n< Carol likes Birmingham. Laura likes Paris. Sharon likes Birmingham. >. Who does not long for Birmingham? Laura\n< Daniel likes Birmingham. Sharon likes Sao Paulo. Anthony likes Birmingham. >. Who does not long for Birmingham? [ Sharon ]\n< Donna likes Madrid. Susan likes Venice. James likes Venice. >. Who does not long for Venice? [ Donna ]\n< Michelle likes Rome. Helen likes Manchester. Joseph likes Manchester. >. Who does not long for Manchester? [ Michelle ]\n< Charles likes Bangkok. Anthony likes Zurich. Deborah likes Bangkok. >. Who does not long for Bangkok? [ Anthony ]\n< Karen likes Manchester. Richard likes Manchester. George likes Hamburg. >. Who does not long for Manchester? [ George ]\n< Laura likes Birmingham. Robert likes Incheon. Sarah likes Birmingham. >. Who does not long for Birmingham? [ Robert ]\n"}
{"task_id": "task28", "texts": "\n< David likes Madrid. Carol likes Madrid. Ronald likes Manchester. >. Who does not want to go to Madrid? Ronald\n< Ronald likes Bangkok. Donald likes Incheon. John likes Incheon. >. Who does not want to go to Incheon? Ronald\n< Michael likes Toronto. Patricia likes Toronto. Susan likes New Delhi. >. Who does not want to go to Toronto? [ Susan ]\n< Jennifer likes Munich. George likes Pattaya. Helen likes Pattaya. >. Who does not want to go to Pattaya? [ Jennifer ]\n< Lisa likes London. Laura likes Paris. Kenneth likes London. >. Who does not want to go to London? [ Laura ]\n< George likes Bern. Deborah likes Osaka. Richard likes Osaka. >. Who does not want to go to Osaka? [ George ]\n< Robert likes Toronto. Mary likes Valencia. James likes Valencia. >. Who does not want to go to Valencia? [ Robert ]\n< Paul likes Busan. Maria likes Sao Paulo. Edward likes Busan. >. Who does not want to go to Busan? [ Maria ]\n"}
{"task_id": "task28", "texts": "\n< Sharon likes Sao Paulo. Betty likes Birmingham. Kimberly likes Sao Paulo. >. Who does not yearn for Sao Paulo? Betty\n< Karen likes Rome. Michelle likes Marseille. Sandra likes Marseille. >. Who does not yearn for Marseille? Karen\n< John likes Saint Petersburg. Deborah likes Saint Petersburg. Edward likes New York. >. Who does not yearn for Saint Petersburg? [ Edward ]\n< Patricia likes Shanghai. Jennifer likes Washington, D.C. Michelle likes Washington, D.C. >. Who does not yearn for Washington, D.C? [ Patricia ]\n< Sandra likes Canberra. Michael likes Canberra. James likes Washington, D.C. >. Who does not yearn for Canberra? [ James ]\n< Sandra likes Manchester. Deborah likes Manchester. Betty likes Zurich. >. Who does not yearn for Manchester? [ Betty ]\n< Michael likes Madrid. Margaret likes Madrid. Mark likes Sydney. >. Who does not yearn for Madrid? [ Mark ]\n< Kenneth likes Canberra. Laura likes Lyon. Anthony likes Canberra. >. Who does not yearn for Canberra? [ Laura ]\n"}
{"task_id": "task28", "texts": "\n< Michael likes Bangkok. William likes Osaka. Elizabeth likes Osaka. >. Who does not long for Osaka? Michael\n< Margaret likes Florence. Jennifer likes Pattaya. James likes Pattaya. >. Who does not long for Pattaya? Margaret\n< Lisa likes Barcelona. Laura likes Bangkok. Helen likes Bangkok. >. Who does not long for Bangkok? [ Lisa ]\n< Michael likes New Delhi. Edward likes Moscow. Michelle likes Moscow. >. Who does not long for Moscow? [ Michael ]\n< Charles likes Shanghai. Brian likes Rome. Kevin likes Rome. >. Who does not long for Rome? [ Charles ]\n< John likes Beijing. Helen likes Sao Paulo. Lisa likes Sao Paulo. >. Who does not long for Sao Paulo? [ John ]\n< David likes Novosibirsk. Michael likes Chiang Mai. Jason likes Chiang Mai. >. Who does not long for Chiang Mai? [ David ]\n< Lisa likes Mumbai. Elizabeth likes Valencia. Donald likes Valencia. >. Who does not long for Valencia? [ Lisa ]\n"}
{"task_id": "task28", "texts": "\n< Helen likes Bras\u00edlia. Edward likes Bras\u00edlia. Steven likes Saint Petersburg. >. Who does not yearn for Bras\u00edlia? Steven\n< Edward likes Vancouver. James likes Hamburg. George likes Vancouver. >. Who does not yearn for Vancouver? James\n< Sandra likes Bangkok. Patricia likes Bangkok. Susan likes Bern. >. Who does not yearn for Bangkok? [ Susan ]\n< Margaret likes Valencia. Karen likes Valencia. Maria likes Manchester. >. Who does not yearn for Valencia? [ Maria ]\n< Sharon likes Paris. Sarah likes Kyoto. Carol likes Kyoto. >. Who does not yearn for Kyoto? [ Sharon ]\n< Barbara likes Marseille. Susan likes Bangkok. Sharon likes Marseille. >. Who does not yearn for Marseille? [ Susan ]\n< Michael likes Incheon. Ronald likes Sydney. Susan likes Sydney. >. Who does not yearn for Sydney? [ Michael ]\n< Jason likes Busan. Dorothy likes Busan. Christopher likes Mumbai. >. Who does not yearn for Busan? [ Christopher ]\n"}
{"task_id": "task28", "texts": "\n< Daniel likes Hamburg. Kenneth likes Sao Paulo. Betty likes Sao Paulo. >. Who does not yearn for Sao Paulo? Daniel\n< Michael likes Zurich. Michelle likes Zurich. Patricia likes Novosibirsk. >. Who does not yearn for Zurich? Patricia\n< Edward likes Osaka. James likes Osaka. Nancy likes Lyon. >. Who does not yearn for Osaka? [ Nancy ]\n< Linda likes Valencia. Michelle likes Bras\u00edlia. William likes Bras\u00edlia. >. Who does not yearn for Bras\u00edlia? [ Linda ]\n< Jeff likes Vancouver. Helen likes Barcelona. Elizabeth likes Vancouver. >. Who does not yearn for Vancouver? [ Helen ]\n< Daniel likes Birmingham. Richard likes Sao Paulo. Laura likes Birmingham. >. Who does not yearn for Birmingham? [ Richard ]\n< Patricia likes Busan. Barbara likes Hamburg. Thomas likes Hamburg. >. Who does not yearn for Hamburg? [ Patricia ]\n< Barbara likes Lyon. Ronald likes Lyon. Laura likes Seoul. >. Who does not yearn for Lyon? [ Laura ]\n"}
{"task_id": "task28", "texts": "\n< Maria likes Bras\u00edlia. Joseph likes Bras\u00edlia. Mark likes Florence. >. Who does not want to go to Bras\u00edlia? Mark\n< Brian likes Osaka. Linda likes Osaka. Dorothy likes Ottawa. >. Who does not want to go to Osaka? Dorothy\n< Karen likes Bras\u00edlia. Ruth likes Manchester. Jeff likes Bras\u00edlia. >. Who does not want to go to Bras\u00edlia? [ Ruth ]\n< William likes Shanghai. Betty likes Valencia. Ronald likes Valencia. >. Who does not want to go to Valencia? [ William ]\n< Jason likes Los Angeles. Richard likes Manchester. Daniel likes Manchester. >. Who does not want to go to Manchester? [ Jason ]\n< Carol likes Florence. Laura likes Moscow. Sharon likes Florence. >. Who does not want to go to Florence? [ Laura ]\n< Michelle likes Bern. Christopher likes Pattaya. Kevin likes Bern. >. Who does not want to go to Bern? [ Christopher ]\n< Mark likes Seoul. Donald likes Florence. Jennifer likes Seoul. >. Who does not want to go to Seoul? [ Donald ]\n"}
{"task_id": "task28", "texts": "\n< Karen likes Birmingham. Steven likes Birmingham. Sharon likes Bangalore. >. Who does not want to go to Birmingham? Sharon\n< Ruth likes Brisbane. Daniel likes Brisbane. Joseph likes Washington, D.C. >. Who does not want to go to Brisbane? Joseph\n< George likes Canberra. Charles likes Bangkok. Kenneth likes Canberra. >. Who does not want to go to Canberra? [ Charles ]\n< Karen likes Bern. Sandra likes Valencia. Nancy likes Valencia. >. Who does not want to go to Valencia? [ Karen ]\n< Patricia likes Busan. Lisa likes Barcelona. Kimberly likes Barcelona. >. Who does not want to go to Barcelona? [ Patricia ]\n< Anthony likes Birmingham. Kenneth likes Osaka. Edward likes Osaka. >. Who does not want to go to Osaka? [ Anthony ]\n< Susan likes Barcelona. Richard likes Sao Paulo. Betty likes Barcelona. >. Who does not want to go to Barcelona? [ Richard ]\n< Sandra likes Hamburg. Jennifer likes Rome. William likes Hamburg. >. Who does not want to go to Hamburg? [ Jennifer ]\n"}
{"task_id": "task28", "texts": "\n< Karen likes Seoul. Nancy likes Madrid. Donald likes Madrid. >. Who does not long for Madrid? Karen\n< Barbara likes Guangzhou. Ronald likes London. Sarah likes Guangzhou. >. Who does not long for Guangzhou? Ronald\n< Anthony likes Madrid. Donna likes Madrid. William likes Bangalore. >. Who does not long for Madrid? [ William ]\n< Joseph likes Incheon. Charles likes Kyoto. Dorothy likes Incheon. >. Who does not long for Incheon? [ Charles ]\n< Sarah likes Florence. Kimberly likes Florence. Jennifer likes Munich. >. Who does not long for Florence? [ Jennifer ]\n< Helen likes London. Ruth likes London. Edward likes Mumbai. >. Who does not long for London? [ Edward ]\n< Betty likes Marseille. Kenneth likes Milan. Carol likes Milan. >. Who does not long for Milan? [ Betty ]\n< Betty likes Chiang Mai. Margaret likes Chiang Mai. Kimberly likes Rome. >. Who does not long for Chiang Mai? [ Kimberly ]\n"}
{"task_id": "task28", "texts": "\n< Ruth likes Osaka. Sarah likes Osaka. Sharon likes Munich. >. Who does not long for Osaka? Sharon\n< Paul likes Florence. Carol likes Florence. Sharon likes Berlin. >. Who does not long for Florence? Sharon\n< Donna likes Novosibirsk. Anthony likes Birmingham. Sarah likes Birmingham. >. Who does not long for Birmingham? [ Donna ]\n< Linda likes New York. Jason likes Madrid. Donna likes New York. >. Who does not long for New York? [ Jason ]\n< Elizabeth likes Florence. Jennifer likes Berlin. Helen likes Florence. >. Who does not long for Florence? [ Jennifer ]\n< Anthony likes Moscow. Robert likes Tokyo. Kimberly likes Moscow. >. Who does not long for Moscow? [ Robert ]\n< Jennifer likes Shanghai. Lisa likes Ottawa. Elizabeth likes Ottawa. >. Who does not long for Ottawa? [ Jennifer ]\n< William likes Saint Petersburg. Donna likes Tokyo. Susan likes Saint Petersburg. >. Who does not long for Saint Petersburg? [ Donna ]\n"}
{"task_id": "task28", "texts": "\n< Michael likes Seoul. Paul likes Seoul. Sarah likes Chiang Mai. >. Who does not long for Seoul? Sarah\n< Patricia likes Paris. Elizabeth likes Novosibirsk. William likes Paris. >. Who does not long for Paris? Elizabeth\n< Anthony likes Rio de Janeiro. Mary likes Moscow. Edward likes Rio de Janeiro. >. Who does not long for Rio de Janeiro? [ Mary ]\n< Steven likes Milan. Paul likes Milan. Helen likes Zurich. >. Who does not long for Milan? [ Helen ]\n< George likes Bangkok. Michael likes Bangalore. Margaret likes Bangalore. >. Who does not long for Bangalore? [ George ]\n< Deborah likes Valencia. James likes Incheon. Linda likes Incheon. >. Who does not long for Incheon? [ Deborah ]\n< Betty likes Valencia. William likes Busan. George likes Valencia. >. Who does not long for Valencia? [ William ]\n< Sharon likes Los Angeles. Charles likes Los Angeles. Mary likes Barcelona. >. Who does not long for Los Angeles? [ Mary ]\n"}
{"task_id": "task28", "texts": "\n< Nancy likes Manchester. Karen likes Moscow. John likes Manchester. >. Who does not want to visit Manchester? Karen\n< William likes Zurich. George likes Hamburg. Kimberly likes Zurich. >. Who does not want to visit Zurich? George\n< Elizabeth likes Saint Petersburg. Brian likes Saint Petersburg. Christopher likes Toronto. >. Who does not want to visit Saint Petersburg? [ Christopher ]\n< Deborah likes Rome. Dorothy likes Guangzhou. Margaret likes Guangzhou. >. Who does not want to visit Guangzhou? [ Deborah ]\n< Betty likes Madrid. Margaret likes Venice. Donald likes Venice. >. Who does not want to visit Venice? [ Betty ]\n< William likes Geneva. Patricia likes Geneva. James likes Birmingham. >. Who does not want to visit Geneva? [ James ]\n< Christopher likes Barcelona. Ruth likes Barcelona. Paul likes Milan. >. Who does not want to visit Barcelona? [ Paul ]\n< Sharon likes Osaka. Sandra likes Washington, D.C. Michael likes Osaka. >. Who does not want to visit Osaka? [ Sandra ]\n"}
{"task_id": "task29", "texts": "\n< Osaka attracts Nancy. Osaka attracts Betty. Sydney attracts William. >. Who does not long for Osaka? William\n< Birmingham attracts Carol. Paris attracts Laura. Birmingham attracts Sharon. >. Who does not long for Birmingham? Laura\n< Birmingham attracts Daniel. Sao Paulo attracts Sharon. Birmingham attracts Anthony. >. Who does not long for Birmingham? [ Sharon ]\n< Madrid attracts Donna. Venice attracts Susan. Venice attracts James. >. Who does not long for Venice? [ Donna ]\n< Rome attracts Michelle. Manchester attracts Helen. Manchester attracts Joseph. >. Who does not long for Manchester? [ Michelle ]\n< Bangkok attracts Charles. Zurich attracts Anthony. Bangkok attracts Deborah. >. Who does not long for Bangkok? [ Anthony ]\n< Manchester attracts Karen. Manchester attracts Richard. Hamburg attracts George. >. Who does not long for Manchester? [ George ]\n< Birmingham attracts Laura. Incheon attracts Robert. Birmingham attracts Sarah. >. Who does not long for Birmingham? [ Robert ]\n"}
{"task_id": "task29", "texts": "\n< Madrid attracts David. Madrid attracts Carol. Manchester attracts Ronald. >. Who does not want to go to Madrid? Ronald\n< Bangkok attracts Ronald. Incheon attracts Donald. Incheon attracts John. >. Who does not want to go to Incheon? Ronald\n< Toronto attracts Michael. Toronto attracts Patricia. New Delhi attracts Susan. >. Who does not want to go to Toronto? [ Susan ]\n< Munich attracts Jennifer. Pattaya attracts George. Pattaya attracts Helen. >. Who does not want to go to Pattaya? [ Jennifer ]\n< London attracts Lisa. Paris attracts Laura. London attracts Kenneth. >. Who does not want to go to London? [ Laura ]\n< Bern attracts George. Osaka attracts Deborah. Osaka attracts Richard. >. Who does not want to go to Osaka? [ George ]\n< Toronto attracts Robert. Valencia attracts Mary. Valencia attracts James. >. Who does not want to go to Valencia? [ Robert ]\n< Busan attracts Paul. Sao Paulo attracts Maria. Busan attracts Edward. >. Who does not want to go to Busan? [ Maria ]\n"}
{"task_id": "task29", "texts": "\n< Sao Paulo attracts Sharon. Birmingham attracts Betty. Sao Paulo attracts Kimberly. >. Who does not yearn for Sao Paulo? Betty\n< Rome attracts Karen. Marseille attracts Michelle. Marseille attracts Sandra. >. Who does not yearn for Marseille? Karen\n< Saint Petersburg attracts John. Saint Petersburg attracts Deborah. New York attracts Edward. >. Who does not yearn for Saint Petersburg? [ Edward ]\n< Shanghai attracts Patricia. Washington, D.C attracts Jennifer. Washington, D.C attracts Michelle. >. Who does not yearn for Washington, D.C? [ Patricia ]\n< Canberra attracts Sandra. Canberra attracts Michael. Washington, D.C attracts James. >. Who does not yearn for Canberra? [ James ]\n< Manchester attracts Sandra. Manchester attracts Deborah. Zurich attracts Betty. >. Who does not yearn for Manchester? [ Betty ]\n< Madrid attracts Michael. Madrid attracts Margaret. Sydney attracts Mark. >. Who does not yearn for Madrid? [ Mark ]\n< Canberra attracts Kenneth. Lyon attracts Laura. Canberra attracts Anthony. >. Who does not yearn for Canberra? [ Laura ]\n"}
{"task_id": "task29", "texts": "\n< Bangkok attracts Michael. Osaka attracts William. Osaka attracts Elizabeth. >. Who does not long for Osaka? Michael\n< Florence attracts Margaret. Pattaya attracts Jennifer. Pattaya attracts James. >. Who does not long for Pattaya? Margaret\n< Barcelona attracts Lisa. Bangkok attracts Laura. Bangkok attracts Helen. >. Who does not long for Bangkok? [ Lisa ]\n< New Delhi attracts Michael. Moscow attracts Edward. Moscow attracts Michelle. >. Who does not long for Moscow? [ Michael ]\n< Shanghai attracts Charles. Rome attracts Brian. Rome attracts Kevin. >. Who does not long for Rome? [ Charles ]\n< Beijing attracts John. Sao Paulo attracts Helen. Sao Paulo attracts Lisa. >. Who does not long for Sao Paulo? [ John ]\n< Novosibirsk attracts David. Chiang Mai attracts Michael. Chiang Mai attracts Jason. >. Who does not long for Chiang Mai? [ David ]\n< Mumbai attracts Lisa. Valencia attracts Elizabeth. Valencia attracts Donald. >. Who does not long for Valencia? [ Lisa ]\n"}
{"task_id": "task29", "texts": "\n< Bras\u00edlia attracts Helen. Bras\u00edlia attracts Edward. Saint Petersburg attracts Steven. >. Who does not yearn for Bras\u00edlia? Steven\n< Vancouver attracts Edward. Hamburg attracts James. Vancouver attracts George. >. Who does not yearn for Vancouver? James\n< Bangkok attracts Sandra. Bangkok attracts Patricia. Bern attracts Susan. >. Who does not yearn for Bangkok? [ Susan ]\n< Valencia attracts Margaret. Valencia attracts Karen. Manchester attracts Maria. >. Who does not yearn for Valencia? [ Maria ]\n< Paris attracts Sharon. Kyoto attracts Sarah. Kyoto attracts Carol. >. Who does not yearn for Kyoto? [ Sharon ]\n< Marseille attracts Barbara. Bangkok attracts Susan. Marseille attracts Sharon. >. Who does not yearn for Marseille? [ Susan ]\n< Incheon attracts Michael. Sydney attracts Ronald. Sydney attracts Susan. >. Who does not yearn for Sydney? [ Michael ]\n< Busan attracts Jason. Busan attracts Dorothy. Mumbai attracts Christopher. >. Who does not yearn for Busan? [ Christopher ]\n"}
{"task_id": "task29", "texts": "\n< Hamburg attracts Daniel. Sao Paulo attracts Kenneth. Sao Paulo attracts Betty. >. Who does not yearn for Sao Paulo? Daniel\n< Zurich attracts Michael. Zurich attracts Michelle. Novosibirsk attracts Patricia. >. Who does not yearn for Zurich? Patricia\n< Osaka attracts Edward. Osaka attracts James. Lyon attracts Nancy. >. Who does not yearn for Osaka? [ Nancy ]\n< Valencia attracts Linda. Bras\u00edlia attracts Michelle. Bras\u00edlia attracts William. >. Who does not yearn for Bras\u00edlia? [ Linda ]\n< Vancouver attracts Jeff. Barcelona attracts Helen. Vancouver attracts Elizabeth. >. Who does not yearn for Vancouver? [ Helen ]\n< Birmingham attracts Daniel. Sao Paulo attracts Richard. Birmingham attracts Laura. >. Who does not yearn for Birmingham? [ Richard ]\n< Busan attracts Patricia. Hamburg attracts Barbara. Hamburg attracts Thomas. >. Who does not yearn for Hamburg? [ Patricia ]\n< Lyon attracts Barbara. Lyon attracts Ronald. Seoul attracts Laura. >. Who does not yearn for Lyon? [ Laura ]\n"}
{"task_id": "task29", "texts": "\n< Bras\u00edlia attracts Maria. Bras\u00edlia attracts Joseph. Florence attracts Mark. >. Who does not want to go to Bras\u00edlia? Mark\n< Osaka attracts Brian. Osaka attracts Linda. Ottawa attracts Dorothy. >. Who does not want to go to Osaka? Dorothy\n< Bras\u00edlia attracts Karen. Manchester attracts Ruth. Bras\u00edlia attracts Jeff. >. Who does not want to go to Bras\u00edlia? [ Ruth ]\n< Shanghai attracts William. Valencia attracts Betty. Valencia attracts Ronald. >. Who does not want to go to Valencia? [ William ]\n< Los Angeles attracts Jason. Manchester attracts Richard. Manchester attracts Daniel. >. Who does not want to go to Manchester? [ Jason ]\n< Florence attracts Carol. Moscow attracts Laura. Florence attracts Sharon. >. Who does not want to go to Florence? [ Laura ]\n< Bern attracts Michelle. Pattaya attracts Christopher. Bern attracts Kevin. >. Who does not want to go to Bern? [ Christopher ]\n< Seoul attracts Mark. Florence attracts Donald. Seoul attracts Jennifer. >. Who does not want to go to Seoul? [ Donald ]\n"}
{"task_id": "task29", "texts": "\n< Birmingham attracts Karen. Birmingham attracts Steven. Bangalore attracts Sharon. >. Who does not want to go to Birmingham? Sharon\n< Brisbane attracts Ruth. Brisbane attracts Daniel. Washington, D.C attracts Joseph. >. Who does not want to go to Brisbane? Joseph\n< Canberra attracts George. Bangkok attracts Charles. Canberra attracts Kenneth. >. Who does not want to go to Canberra? [ Charles ]\n< Bern attracts Karen. Valencia attracts Sandra. Valencia attracts Nancy. >. Who does not want to go to Valencia? [ Karen ]\n< Busan attracts Patricia. Barcelona attracts Lisa. Barcelona attracts Kimberly. >. Who does not want to go to Barcelona? [ Patricia ]\n< Birmingham attracts Anthony. Osaka attracts Kenneth. Osaka attracts Edward. >. Who does not want to go to Osaka? [ Anthony ]\n< Barcelona attracts Susan. Sao Paulo attracts Richard. Barcelona attracts Betty. >. Who does not want to go to Barcelona? [ Richard ]\n< Hamburg attracts Sandra. Rome attracts Jennifer. Hamburg attracts William. >. Who does not want to go to Hamburg? [ Jennifer ]\n"}
{"task_id": "task29", "texts": "\n< Seoul attracts Karen. Madrid attracts Nancy. Madrid attracts Donald. >. Who does not long for Madrid? Karen\n< Guangzhou attracts Barbara. London attracts Ronald. Guangzhou attracts Sarah. >. Who does not long for Guangzhou? Ronald\n< Madrid attracts Anthony. Madrid attracts Donna. Bangalore attracts William. >. Who does not long for Madrid? [ William ]\n< Incheon attracts Joseph. Kyoto attracts Charles. Incheon attracts Dorothy. >. Who does not long for Incheon? [ Charles ]\n< Florence attracts Sarah. Florence attracts Kimberly. Munich attracts Jennifer. >. Who does not long for Florence? [ Jennifer ]\n< London attracts Helen. London attracts Ruth. Mumbai attracts Edward. >. Who does not long for London? [ Edward ]\n< Marseille attracts Betty. Milan attracts Kenneth. Milan attracts Carol. >. Who does not long for Milan? [ Betty ]\n< Chiang Mai attracts Betty. Chiang Mai attracts Margaret. Rome attracts Kimberly. >. Who does not long for Chiang Mai? [ Kimberly ]\n"}
{"task_id": "task29", "texts": "\n< Osaka attracts Ruth. Osaka attracts Sarah. Munich attracts Sharon. >. Who does not long for Osaka? Sharon\n< Florence attracts Paul. Florence attracts Carol. Berlin attracts Sharon. >. Who does not long for Florence? Sharon\n< Novosibirsk attracts Donna. Birmingham attracts Anthony. Birmingham attracts Sarah. >. Who does not long for Birmingham? [ Donna ]\n< New York attracts Linda. Madrid attracts Jason. New York attracts Donna. >. Who does not long for New York? [ Jason ]\n< Florence attracts Elizabeth. Berlin attracts Jennifer. Florence attracts Helen. >. Who does not long for Florence? [ Jennifer ]\n< Moscow attracts Anthony. Tokyo attracts Robert. Moscow attracts Kimberly. >. Who does not long for Moscow? [ Robert ]\n< Shanghai attracts Jennifer. Ottawa attracts Lisa. Ottawa attracts Elizabeth. >. Who does not long for Ottawa? [ Jennifer ]\n< Saint Petersburg attracts William. Tokyo attracts Donna. Saint Petersburg attracts Susan. >. Who does not long for Saint Petersburg? [ Donna ]\n"}
{"task_id": "task29", "texts": "\n< Seoul attracts Michael. Seoul attracts Paul. Chiang Mai attracts Sarah. >. Who does not long for Seoul? Sarah\n< Paris attracts Patricia. Novosibirsk attracts Elizabeth. Paris attracts William. >. Who does not long for Paris? Elizabeth\n< Rio de Janeiro attracts Anthony. Moscow attracts Mary. Rio de Janeiro attracts Edward. >. Who does not long for Rio de Janeiro? [ Mary ]\n< Milan attracts Steven. Milan attracts Paul. Zurich attracts Helen. >. Who does not long for Milan? [ Helen ]\n< Bangkok attracts George. Bangalore attracts Michael. Bangalore attracts Margaret. >. Who does not long for Bangalore? [ George ]\n< Valencia attracts Deborah. Incheon attracts James. Incheon attracts Linda. >. Who does not long for Incheon? [ Deborah ]\n< Valencia attracts Betty. Busan attracts William. Valencia attracts George. >. Who does not long for Valencia? [ William ]\n< Los Angeles attracts Sharon. Los Angeles attracts Charles. Barcelona attracts Mary. >. Who does not long for Los Angeles? [ Mary ]\n"}
{"task_id": "task29", "texts": "\n< Manchester attracts Nancy. Moscow attracts Karen. Manchester attracts John. >. Who does not want to visit Manchester? Karen\n< Zurich attracts William. Hamburg attracts George. Zurich attracts Kimberly. >. Who does not want to visit Zurich? George\n< Saint Petersburg attracts Elizabeth. Saint Petersburg attracts Brian. Toronto attracts Christopher. >. Who does not want to visit Saint Petersburg? [ Christopher ]\n< Rome attracts Deborah. Guangzhou attracts Dorothy. Guangzhou attracts Margaret. >. Who does not want to visit Guangzhou? [ Deborah ]\n< Madrid attracts Betty. Venice attracts Margaret. Venice attracts Donald. >. Who does not want to visit Venice? [ Betty ]\n< Geneva attracts William. Geneva attracts Patricia. Birmingham attracts James. >. Who does not want to visit Geneva? [ James ]\n< Barcelona attracts Christopher. Barcelona attracts Ruth. Milan attracts Paul. >. Who does not want to visit Barcelona? [ Paul ]\n< Osaka attracts Sharon. Washington, D.C attracts Sandra. Osaka attracts Michael. >. Who does not want to visit Osaka? [ Sandra ]\n"}
{"task_id": "task30", "texts": "\n< Jeff likes Washington, D.C. Laura likes Busan. Joseph likes Madrid. >. Who wants to visit Washington, D.C? Jeff\n< Michelle likes Chiang Mai. Helen likes Manchester. Joseph likes Paris. >. Who wants to visit Chiang Mai? Michelle\n< David likes Florence. Carol likes Bangkok. Maria likes Washington, D.C. >. Who wants to visit Bangkok? [ Carol ]\n< Ronald likes Tokyo. Ruth likes London. Anthony likes New Delhi. >. Who wants to visit Tokyo? [ Ronald ]\n< Michael likes Lyon. Sandra likes Toronto. Daniel likes Moscow. >. Who wants to visit Toronto? [ Sandra ]\n< Kevin likes Mumbai. Ronald likes Vancouver. Elizabeth likes New Delhi. >. Who wants to visit New Delhi? [ Elizabeth ]\n< Michael likes Brisbane. Lisa likes Toronto. Paul likes Sao Paulo. >. Who wants to visit Brisbane? [ Michael ]\n< Helen likes Munich. Donald likes Valencia. George likes Milan. >. Who wants to visit Milan? [ George ]\n"}
{"task_id": "task30", "texts": "\n< Susan likes Beijing. Dorothy likes Milan. Robert likes Brisbane. >. Who wants to visit Brisbane? Robert\n< Jason likes Guangzhou. Lisa likes Busan. Christopher likes Bras\u00edlia. >. Who wants to visit Busan? Lisa\n< Michael likes Pattaya. Robert likes London. Sarah likes Seoul. >. Who wants to visit Seoul? [ Sarah ]\n< Christopher likes Pattaya. Mary likes Hamburg. Robert likes Saint Petersburg. >. Who wants to visit Saint Petersburg? [ Robert ]\n< Thomas likes Milan. Ronald likes Vancouver. Mark likes Shanghai. >. Who wants to visit Milan? [ Thomas ]\n< Brian likes Brisbane. Richard likes Shanghai. Helen likes Ottawa. >. Who wants to visit Shanghai? [ Richard ]\n< Donna likes Venice. Brian likes Sydney. Lisa likes Guangzhou. >. Who wants to visit Venice? [ Donna ]\n< William likes Pattaya. Edward likes Marseille. Elizabeth likes Saint Petersburg. >. Who wants to visit Pattaya? [ William ]\n"}
{"task_id": "task30", "texts": "\n< Helen likes Zurich. Betty likes Brisbane. Robert likes Shanghai. >. Who yearns for Brisbane? Betty\n< Joseph likes Pattaya. George likes Kyoto. Michelle likes Berlin. >. Who yearns for Berlin? Michelle\n< David likes Berlin. Sharon likes Brisbane. John likes Lyon. >. Who yearns for Lyon? [ John ]\n< Michael likes Shanghai. Sarah likes Chiang Mai. Kenneth likes Canberra. >. Who yearns for Chiang Mai? [ Sarah ]\n< David likes New York. Jason likes Barcelona. Carol likes Florence. >. Who yearns for Barcelona? [ Jason ]\n< Laura likes Incheon. Donald likes Manchester. Susan likes Osaka. >. Who yearns for Osaka? [ Susan ]\n< Barbara likes Beijing. Dorothy likes Zurich. Anthony likes Manchester. >. Who yearns for Beijing? [ Barbara ]\n< Michael likes Bangalore. Edward likes Barcelona. Michelle likes Munich. >. Who yearns for Bangalore? [ Michael ]\n"}
{"task_id": "task30", "texts": "\n< Linda likes Toronto. Donna likes Brisbane. Paul likes Milan. >. Who wants to go to Toronto? Linda\n< David likes Bern. Michael likes Valencia. Jason likes Incheon. >. Who wants to go to Bern? David\n< Mark likes Munich. Jason likes Novosibirsk. Kimberly likes Valencia. >. Who wants to go to Valencia? [ Kimberly ]\n< Helen likes Sao Paulo. Edward likes Novosibirsk. Steven likes Lyon. >. Who wants to go to Lyon? [ Steven ]\n< Mark likes Vancouver. George likes Los Angeles. Susan likes Lyon. >. Who wants to go to Vancouver? [ Mark ]\n< Charles likes New Delhi. George likes Marseille. Sandra likes London. >. Who wants to go to London? [ Sandra ]\n< John likes Osaka. Anthony likes Berlin. Joseph likes New Delhi. >. Who wants to go to Berlin? [ Anthony ]\n< Barbara likes Madrid. Susan likes Geneva. Sharon likes Marseille. >. Who wants to go to Geneva? [ Susan ]\n"}
{"task_id": "task30", "texts": "\n< John likes Incheon. Patricia likes Sao Paulo. Kenneth likes Marseille. >. Who wants to visit Incheon? John\n< Michelle likes Zurich. Paul likes Valencia. Jeff likes Hamburg. >. Who wants to visit Zurich? Michelle\n< Anthony likes Rome. Linda likes Beijing. Maria likes Paris. >. Who wants to visit Rome? [ Anthony ]\n< Thomas likes Incheon. Kevin likes Barcelona. Christopher likes Ottawa. >. Who wants to visit Barcelona? [ Kevin ]\n< Patricia likes Geneva. Sandra likes Bern. Laura likes Birmingham. >. Who wants to visit Bern? [ Sandra ]\n< William likes Brisbane. Thomas likes Osaka. Margaret likes Milan. >. Who wants to visit Osaka? [ Thomas ]\n< Charles likes Novosibirsk. Michelle likes Vancouver. Richard likes Canberra. >. Who wants to visit Canberra? [ Richard ]\n< Karen likes Florence. Kimberly likes Venice. Michael likes Tokyo. >. Who wants to visit Tokyo? [ Michael ]\n"}
{"task_id": "task30", "texts": "\n< Linda likes Geneva. Kimberly likes Venice. Margaret likes Valencia. >. Who longs for Venice? Kimberly\n< Ruth likes Berlin. Thomas likes Valencia. William likes Hamburg. >. Who longs for Hamburg? William\n< Kenneth likes Osaka. Susan likes Madrid. Carol likes London. >. Who longs for Osaka? [ Kenneth ]\n< Donald likes Pattaya. Karen likes Saint Petersburg. Donna likes Tokyo. >. Who longs for Pattaya? [ Donald ]\n< Sharon likes Vancouver. Susan likes Florence. Kevin likes Rio de Janeiro. >. Who longs for Vancouver? [ Sharon ]\n< Charles likes Paris. Anthony likes Incheon. Donald likes Shanghai. >. Who longs for Shanghai? [ Donald ]\n< William likes Berlin. Helen likes Munich. Robert likes Kyoto. >. Who longs for Kyoto? [ Robert ]\n< Carol likes Kyoto. Betty likes New York. Maria likes Busan. >. Who longs for New York? [ Betty ]\n"}
{"task_id": "task30", "texts": "\n< George likes Pattaya. Kevin likes Seoul. Sarah likes Geneva. >. Who yearns for Seoul? Kevin\n< Maria likes Birmingham. Charles likes Marseille. Kenneth likes Rome. >. Who yearns for Birmingham? Maria\n< Michelle likes Osaka. William likes Novosibirsk. Karen likes Guangzhou. >. Who yearns for Osaka? [ Michelle ]\n< Elizabeth likes Hamburg. Brian likes Shanghai. Sarah likes Paris. >. Who yearns for Paris? [ Sarah ]\n< Kevin likes Bras\u00edlia. Helen likes Munich. Thomas likes Kyoto. >. Who yearns for Munich? [ Helen ]\n< Mark likes Milan. Richard likes Geneva. Steven likes Saint Petersburg. >. Who yearns for Geneva? [ Richard ]\n< Barbara likes Los Angeles. Sandra likes New Delhi. Anthony likes Valencia. >. Who yearns for Los Angeles? [ Barbara ]\n< Christopher likes Florence. George likes Geneva. Michelle likes Brisbane. >. Who yearns for Brisbane? [ Michelle ]\n"}
{"task_id": "task30", "texts": "\n< Anthony likes Rio de Janeiro. Nancy likes Madrid. Carol likes Saint Petersburg. >. Who yearns for Saint Petersburg? Carol\n< Michael likes Incheon. Laura likes Chiang Mai. Michelle likes Zurich. >. Who yearns for Incheon? Michael\n< Susan likes Busan. Ronald likes Venice. Daniel likes Rome. >. Who yearns for Venice? [ Ronald ]\n< Jason likes Rome. Kenneth likes Mumbai. Sarah likes Seoul. >. Who yearns for Rome? [ Jason ]\n< Brian likes Seoul. David likes Birmingham. Nancy likes Chiang Mai. >. Who yearns for Chiang Mai? [ Nancy ]\n< Donna likes Vancouver. Edward likes Bern. Linda likes Birmingham. >. Who yearns for Bern? [ Edward ]\n< Dorothy likes Mumbai. Jennifer likes New York. Christopher likes Washington, D.C. >. Who yearns for Mumbai? [ Dorothy ]\n< Patricia likes Novosibirsk. Kimberly likes Bras\u00edlia. Brian likes Vancouver. >. Who yearns for Novosibirsk? [ Patricia ]\n"}
{"task_id": "task30", "texts": "\n< Donald likes Bangalore. Elizabeth likes Barcelona. Helen likes Rome. >. Who wants to go to Barcelona? Elizabeth\n< Michael likes Lyon. Richard likes Valencia. George likes Manchester. >. Who wants to go to Lyon? Michael\n< Sharon likes Canberra. Nancy likes New Delhi. Maria likes Rome. >. Who wants to go to Canberra? [ Sharon ]\n< Jason likes Geneva. Steven likes Shanghai. George likes Hamburg. >. Who wants to go to Shanghai? [ Steven ]\n< Brian likes London. Jennifer likes Washington, D.C. George likes Brisbane. >. Who wants to go to London? [ Brian ]\n< Jennifer likes Geneva. Jeff likes Barcelona. Kenneth likes Osaka. >. Who wants to go to Osaka? [ Kenneth ]\n< Maria likes Zurich. Kenneth likes Mumbai. Laura likes Guangzhou. >. Who wants to go to Mumbai? [ Kenneth ]\n< Karen likes Hamburg. Dorothy likes New York. Nancy likes Lyon. >. Who wants to go to Lyon? [ Nancy ]\n"}
{"task_id": "task30", "texts": "\n< Sharon likes Paris. Margaret likes Novosibirsk. Laura likes Lyon. >. Who wants to go to Novosibirsk? Margaret\n< James likes Guangzhou. Sarah likes Ottawa. Karen likes Zurich. >. Who wants to go to Guangzhou? James\n< Donald likes Birmingham. Paul likes Chiang Mai. Robert likes Zurich. >. Who wants to go to Chiang Mai? [ Paul ]\n< Nancy likes New Delhi. Sarah likes Beijing. Lisa likes Marseille. >. Who wants to go to Beijing? [ Sarah ]\n< Michelle likes Rome. Joseph likes Los Angeles. Michael likes Bern. >. Who wants to go to Los Angeles? [ Joseph ]\n< Michelle likes Sydney. Robert likes Incheon. Mary likes Canberra. >. Who wants to go to Sydney? [ Michelle ]\n< Jennifer likes Vancouver. Elizabeth likes Birmingham. Michelle likes Florence. >. Who wants to go to Florence? [ Michelle ]\n< Linda likes Moscow. George likes Bras\u00edlia. Susan likes Geneva. >. Who wants to go to Geneva? [ Susan ]\n"}
{"task_id": "task30", "texts": "\n< Paul likes Lyon. Mary likes Geneva. Anthony likes Chiang Mai. >. Who wants to visit Chiang Mai? Anthony\n< Michael likes Tokyo. Linda likes Incheon. Jeff likes Barcelona. >. Who wants to visit Incheon? Linda\n< Kimberly likes Kyoto. Sarah likes Sao Paulo. Mark likes Madrid. >. Who wants to visit Madrid? [ Mark ]\n< Sharon likes Rome. Paul likes Valencia. Deborah likes Marseille. >. Who wants to visit Valencia? [ Paul ]\n< Joseph likes Lyon. Michelle likes Berlin. Jason likes Rio de Janeiro. >. Who wants to visit Berlin? [ Michelle ]\n< Jennifer likes Moscow. Kevin likes Toronto. Karen likes Lyon. >. Who wants to visit Moscow? [ Jennifer ]\n< Susan likes Paris. Linda likes Milan. Maria likes Ottawa. >. Who wants to visit Paris? [ Susan ]\n< Charles likes Saint Petersburg. Laura likes Milan. Dorothy likes Barcelona. >. Who wants to visit Barcelona? [ Dorothy ]\n"}
{"task_id": "task30", "texts": "\n< George likes Washington, D.C. Ruth likes Vancouver. Nancy likes Geneva. >. Who longs for Washington, D.C? George\n< Paul likes Bras\u00edlia. Daniel likes Saint Petersburg. David likes Beijing. >. Who longs for Beijing? David\n< Karen likes Brisbane. Brian likes Bangalore. Patricia likes Milan. >. Who longs for Bangalore? [ Brian ]\n< Margaret likes Berlin. George likes Kyoto. Linda likes Chiang Mai. >. Who longs for Chiang Mai? [ Linda ]\n< Edward likes New Delhi. Steven likes Munich. Christopher likes London. >. Who longs for Munich? [ Steven ]\n< Ronald likes Los Angeles. Charles likes Shanghai. Karen likes Vancouver. >. Who longs for Los Angeles? [ Ronald ]\n< George likes Venice. Sandra likes Incheon. Michael likes Saint Petersburg. >. Who longs for Venice? [ George ]\n< Kevin likes Lyon. Susan likes Chiang Mai. Mary likes Brisbane. >. Who longs for Lyon? [ Kevin ]\n"}
{"task_id": "task31", "texts": "\n< Washington, D.C attracts Jeff. Busan attracts Laura. Madrid attracts Joseph. >. Who wants to visit Washington, D.C? Jeff\n< Chiang Mai attracts Michelle. Manchester attracts Helen. Paris attracts Joseph. >. Who wants to visit Chiang Mai? Michelle\n< Florence attracts David. Bangkok attracts Carol. Washington, D.C attracts Maria. >. Who wants to visit Bangkok? [ Carol ]\n< Tokyo attracts Ronald. London attracts Ruth. New Delhi attracts Anthony. >. Who wants to visit Tokyo? [ Ronald ]\n< Lyon attracts Michael. Toronto attracts Sandra. Moscow attracts Daniel. >. Who wants to visit Toronto? [ Sandra ]\n< Mumbai attracts Kevin. Vancouver attracts Ronald. New Delhi attracts Elizabeth. >. Who wants to visit New Delhi? [ Elizabeth ]\n< Brisbane attracts Michael. Toronto attracts Lisa. Sao Paulo attracts Paul. >. Who wants to visit Brisbane? [ Michael ]\n< Munich attracts Helen. Valencia attracts Donald. Milan attracts George. >. Who wants to visit Milan? [ George ]\n"}
{"task_id": "task31", "texts": "\n< Beijing attracts Susan. Milan attracts Dorothy. Brisbane attracts Robert. >. Who wants to visit Brisbane? Robert\n< Guangzhou attracts Jason. Busan attracts Lisa. Bras\u00edlia attracts Christopher. >. Who wants to visit Busan? Lisa\n< Pattaya attracts Michael. London attracts Robert. Seoul attracts Sarah. >. Who wants to visit Seoul? [ Sarah ]\n< Pattaya attracts Christopher. Hamburg attracts Mary. Saint Petersburg attracts Robert. >. Who wants to visit Saint Petersburg? [ Robert ]\n< Milan attracts Thomas. Vancouver attracts Ronald. Shanghai attracts Mark. >. Who wants to visit Milan? [ Thomas ]\n< Brisbane attracts Brian. Shanghai attracts Richard. Ottawa attracts Helen. >. Who wants to visit Shanghai? [ Richard ]\n< Venice attracts Donna. Sydney attracts Brian. Guangzhou attracts Lisa. >. Who wants to visit Venice? [ Donna ]\n< Pattaya attracts William. Marseille attracts Edward. Saint Petersburg attracts Elizabeth. >. Who wants to visit Pattaya? [ William ]\n"}
{"task_id": "task31", "texts": "\n< Zurich attracts Helen. Brisbane attracts Betty. Shanghai attracts Robert. >. Who yearns for Brisbane? Betty\n< Pattaya attracts Joseph. Kyoto attracts George. Berlin attracts Michelle. >. Who yearns for Berlin? Michelle\n< Berlin attracts David. Brisbane attracts Sharon. Lyon attracts John. >. Who yearns for Lyon? [ John ]\n< Shanghai attracts Michael. Chiang Mai attracts Sarah. Canberra attracts Kenneth. >. Who yearns for Chiang Mai? [ Sarah ]\n< New York attracts David. Barcelona attracts Jason. Florence attracts Carol. >. Who yearns for Barcelona? [ Jason ]\n< Incheon attracts Laura. Manchester attracts Donald. Osaka attracts Susan. >. Who yearns for Osaka? [ Susan ]\n< Beijing attracts Barbara. Zurich attracts Dorothy. Manchester attracts Anthony. >. Who yearns for Beijing? [ Barbara ]\n< Bangalore attracts Michael. Barcelona attracts Edward. Munich attracts Michelle. >. Who yearns for Bangalore? [ Michael ]\n"}
{"task_id": "task31", "texts": "\n< Toronto attracts Linda. Brisbane attracts Donna. Milan attracts Paul. >. Who wants to go to Toronto? Linda\n< Bern attracts David. Valencia attracts Michael. Incheon attracts Jason. >. Who wants to go to Bern? David\n< Munich attracts Mark. Novosibirsk attracts Jason. Valencia attracts Kimberly. >. Who wants to go to Valencia? [ Kimberly ]\n< Sao Paulo attracts Helen. Novosibirsk attracts Edward. Lyon attracts Steven. >. Who wants to go to Lyon? [ Steven ]\n< Vancouver attracts Mark. Los Angeles attracts George. Lyon attracts Susan. >. Who wants to go to Vancouver? [ Mark ]\n< New Delhi attracts Charles. Marseille attracts George. London attracts Sandra. >. Who wants to go to London? [ Sandra ]\n< Osaka attracts John. Berlin attracts Anthony. New Delhi attracts Joseph. >. Who wants to go to Berlin? [ Anthony ]\n< Madrid attracts Barbara. Geneva attracts Susan. Marseille attracts Sharon. >. Who wants to go to Geneva? [ Susan ]\n"}
{"task_id": "task31", "texts": "\n< Incheon attracts John. Sao Paulo attracts Patricia. Marseille attracts Kenneth. >. Who wants to visit Incheon? John\n< Zurich attracts Michelle. Valencia attracts Paul. Hamburg attracts Jeff. >. Who wants to visit Zurich? Michelle\n< Rome attracts Anthony. Beijing attracts Linda. Paris attracts Maria. >. Who wants to visit Rome? [ Anthony ]\n< Incheon attracts Thomas. Barcelona attracts Kevin. Ottawa attracts Christopher. >. Who wants to visit Barcelona? [ Kevin ]\n< Geneva attracts Patricia. Bern attracts Sandra. Birmingham attracts Laura. >. Who wants to visit Bern? [ Sandra ]\n< Brisbane attracts William. Osaka attracts Thomas. Milan attracts Margaret. >. Who wants to visit Osaka? [ Thomas ]\n< Novosibirsk attracts Charles. Vancouver attracts Michelle. Canberra attracts Richard. >. Who wants to visit Canberra? [ Richard ]\n< Florence attracts Karen. Venice attracts Kimberly. Tokyo attracts Michael. >. Who wants to visit Tokyo? [ Michael ]\n"}
{"task_id": "task31", "texts": "\n< Geneva attracts Linda. Venice attracts Kimberly. Valencia attracts Margaret. >. Who longs for Venice? Kimberly\n< Berlin attracts Ruth. Valencia attracts Thomas. Hamburg attracts William. >. Who longs for Hamburg? William\n< Osaka attracts Kenneth. Madrid attracts Susan. London attracts Carol. >. Who longs for Osaka? [ Kenneth ]\n< Pattaya attracts Donald. Saint Petersburg attracts Karen. Tokyo attracts Donna. >. Who longs for Pattaya? [ Donald ]\n< Vancouver attracts Sharon. Florence attracts Susan. Rio de Janeiro attracts Kevin. >. Who longs for Vancouver? [ Sharon ]\n< Paris attracts Charles. Incheon attracts Anthony. Shanghai attracts Donald. >. Who longs for Shanghai? [ Donald ]\n< Berlin attracts William. Munich attracts Helen. Kyoto attracts Robert. >. Who longs for Kyoto? [ Robert ]\n< Kyoto attracts Carol. New York attracts Betty. Busan attracts Maria. >. Who longs for New York? [ Betty ]\n"}
{"task_id": "task31", "texts": "\n< Pattaya attracts George. Seoul attracts Kevin. Geneva attracts Sarah. >. Who yearns for Seoul? Kevin\n< Birmingham attracts Maria. Marseille attracts Charles. Rome attracts Kenneth. >. Who yearns for Birmingham? Maria\n< Osaka attracts Michelle. Novosibirsk attracts William. Guangzhou attracts Karen. >. Who yearns for Osaka? [ Michelle ]\n< Hamburg attracts Elizabeth. Shanghai attracts Brian. Paris attracts Sarah. >. Who yearns for Paris? [ Sarah ]\n< Bras\u00edlia attracts Kevin. Munich attracts Helen. Kyoto attracts Thomas. >. Who yearns for Munich? [ Helen ]\n< Milan attracts Mark. Geneva attracts Richard. Saint Petersburg attracts Steven. >. Who yearns for Geneva? [ Richard ]\n< Los Angeles attracts Barbara. New Delhi attracts Sandra. Valencia attracts Anthony. >. Who yearns for Los Angeles? [ Barbara ]\n< Florence attracts Christopher. Geneva attracts George. Brisbane attracts Michelle. >. Who yearns for Brisbane? [ Michelle ]\n"}
{"task_id": "task31", "texts": "\n< Rio de Janeiro attracts Anthony. Madrid attracts Nancy. Saint Petersburg attracts Carol. >. Who yearns for Saint Petersburg? Carol\n< Incheon attracts Michael. Chiang Mai attracts Laura. Zurich attracts Michelle. >. Who yearns for Incheon? Michael\n< Busan attracts Susan. Venice attracts Ronald. Rome attracts Daniel. >. Who yearns for Venice? [ Ronald ]\n< Rome attracts Jason. Mumbai attracts Kenneth. Seoul attracts Sarah. >. Who yearns for Rome? [ Jason ]\n< Seoul attracts Brian. Birmingham attracts David. Chiang Mai attracts Nancy. >. Who yearns for Chiang Mai? [ Nancy ]\n< Vancouver attracts Donna. Bern attracts Edward. Birmingham attracts Linda. >. Who yearns for Bern? [ Edward ]\n< Mumbai attracts Dorothy. New York attracts Jennifer. Washington, D.C attracts Christopher. >. Who yearns for Mumbai? [ Dorothy ]\n< Novosibirsk attracts Patricia. Bras\u00edlia attracts Kimberly. Vancouver attracts Brian. >. Who yearns for Novosibirsk? [ Patricia ]\n"}
{"task_id": "task31", "texts": "\n< Bangalore attracts Donald. Barcelona attracts Elizabeth. Rome attracts Helen. >. Who wants to go to Barcelona? Elizabeth\n< Lyon attracts Michael. Valencia attracts Richard. Manchester attracts George. >. Who wants to go to Lyon? Michael\n< Canberra attracts Sharon. New Delhi attracts Nancy. Rome attracts Maria. >. Who wants to go to Canberra? [ Sharon ]\n< Geneva attracts Jason. Shanghai attracts Steven. Hamburg attracts George. >. Who wants to go to Shanghai? [ Steven ]\n< London attracts Brian. Washington, D.C attracts Jennifer. Brisbane attracts George. >. Who wants to go to London? [ Brian ]\n< Geneva attracts Jennifer. Barcelona attracts Jeff. Osaka attracts Kenneth. >. Who wants to go to Osaka? [ Kenneth ]\n< Zurich attracts Maria. Mumbai attracts Kenneth. Guangzhou attracts Laura. >. Who wants to go to Mumbai? [ Kenneth ]\n< Hamburg attracts Karen. New York attracts Dorothy. Lyon attracts Nancy. >. Who wants to go to Lyon? [ Nancy ]\n"}
{"task_id": "task31", "texts": "\n< Paris attracts Sharon. Novosibirsk attracts Margaret. Lyon attracts Laura. >. Who wants to go to Novosibirsk? Margaret\n< Guangzhou attracts James. Ottawa attracts Sarah. Zurich attracts Karen. >. Who wants to go to Guangzhou? James\n< Birmingham attracts Donald. Chiang Mai attracts Paul. Zurich attracts Robert. >. Who wants to go to Chiang Mai? [ Paul ]\n< New Delhi attracts Nancy. Beijing attracts Sarah. Marseille attracts Lisa. >. Who wants to go to Beijing? [ Sarah ]\n< Rome attracts Michelle. Los Angeles attracts Joseph. Bern attracts Michael. >. Who wants to go to Los Angeles? [ Joseph ]\n< Sydney attracts Michelle. Incheon attracts Robert. Canberra attracts Mary. >. Who wants to go to Sydney? [ Michelle ]\n< Vancouver attracts Jennifer. Birmingham attracts Elizabeth. Florence attracts Michelle. >. Who wants to go to Florence? [ Michelle ]\n< Moscow attracts Linda. Bras\u00edlia attracts George. Geneva attracts Susan. >. Who wants to go to Geneva? [ Susan ]\n"}
{"task_id": "task31", "texts": "\n< Lyon attracts Paul. Geneva attracts Mary. Chiang Mai attracts Anthony. >. Who wants to visit Chiang Mai? Anthony\n< Tokyo attracts Michael. Incheon attracts Linda. Barcelona attracts Jeff. >. Who wants to visit Incheon? Linda\n< Kyoto attracts Kimberly. Sao Paulo attracts Sarah. Madrid attracts Mark. >. Who wants to visit Madrid? [ Mark ]\n< Rome attracts Sharon. Valencia attracts Paul. Marseille attracts Deborah. >. Who wants to visit Valencia? [ Paul ]\n< Lyon attracts Joseph. Berlin attracts Michelle. Rio de Janeiro attracts Jason. >. Who wants to visit Berlin? [ Michelle ]\n< Moscow attracts Jennifer. Toronto attracts Kevin. Lyon attracts Karen. >. Who wants to visit Moscow? [ Jennifer ]\n< Paris attracts Susan. Milan attracts Linda. Ottawa attracts Maria. >. Who wants to visit Paris? [ Susan ]\n< Saint Petersburg attracts Charles. Milan attracts Laura. Barcelona attracts Dorothy. >. Who wants to visit Barcelona? [ Dorothy ]\n"}
{"task_id": "task31", "texts": "\n< Washington, D.C attracts George. Vancouver attracts Ruth. Geneva attracts Nancy. >. Who longs for Washington, D.C? George\n< Bras\u00edlia attracts Paul. Saint Petersburg attracts Daniel. Beijing attracts David. >. Who longs for Beijing? David\n< Brisbane attracts Karen. Bangalore attracts Brian. Milan attracts Patricia. >. Who longs for Bangalore? [ Brian ]\n< Berlin attracts Margaret. Kyoto attracts George. Chiang Mai attracts Linda. >. Who longs for Chiang Mai? [ Linda ]\n< New Delhi attracts Edward. Munich attracts Steven. London attracts Christopher. >. Who longs for Munich? [ Steven ]\n< Los Angeles attracts Ronald. Shanghai attracts Charles. Vancouver attracts Karen. >. Who longs for Los Angeles? [ Ronald ]\n< Venice attracts George. Incheon attracts Sandra. Saint Petersburg attracts Michael. >. Who longs for Venice? [ George ]\n< Lyon attracts Kevin. Chiang Mai attracts Susan. Brisbane attracts Mary. >. Who longs for Lyon? [ Kevin ]\n"}
{"task_id": "task32", "texts": "\n< Ronald has a vacuum cleaner. Maria has a car. Ronald has goggles. >. Ronald does not possess the thing that can drive\n< Michael has a vacuum cleaner. Michael has a palette. Sharon has a guitar. >. Michael does not possess the thing that can play\n< Deborah has pencils. John has a roller. John has a pot. >. John does not possess the thing that can [ write ]\n< Donna has a calculator. Donna has pencils. Kenneth has swim fins. >. Donna does not possess the thing that can [ swim ]\n< John has an abacus. Lisa has a car. Lisa has spray. >. Lisa does not possess the thing that can [ calculate ]\n< Barbara has an abacus. Joseph has chalk. Barbara has a violin. >. Barbara does not possess the thing that can [ write ]\n< Daniel has goggles. Daniel has chalk. Susan has a dagger. >. Daniel does not possess the thing that can [ kill ]\n< John has spray. Linda has an abacus. Linda has a piano. >. Linda does not possess the thing that can [ paint ]\n"}
{"task_id": "task32", "texts": "\n< Jeff has a brush. Jeff has a telegraph. Helen has a plane. >. Jeff does not own the thing that can fly\n< Paul has a gun. Jennifer has a swimsuit. Jennifer has a mop. >. Jennifer does not own the thing that can kill\n< Mark has a vacuum cleaner. Jennifer has goggles. Jennifer has a violin. >. Jennifer does not own the thing that can [ clean ]\n< David has a brush. Karen has goggles. David has a plane. >. David does not own the thing that can [ swim ]\n< John has a car. John has an oven. Elizabeth has a telephone. >. John does not own the thing that can [ communicate ]\n< William has a bicycle. Linda has a violin. William has a pan. >. William does not own the thing that can [ play ]\n< Donald has a knife. Nancy has a swimsuit. Donald has a guitar. >. Donald does not own the thing that can [ swim ]\n< Michael has a car. Michael has spray. Michelle has a pan. >. Michael does not own the thing that can [ cook ]\n"}
{"task_id": "task32", "texts": "\n< Margaret has a jeep. William has a knife. Margaret has a glider. >. Margaret does not own the thing that can kill\n< Karen has a horse. Karen has a piano. Richard has a pen. >. Karen does not own the thing that can write\n< Betty has a telephone. Betty has a knife. James has a car. >. Betty does not own the thing that can [ drive ]\n< Helen has a vacuum cleaner. Steven has a computer. Helen has a palette. >. Helen does not own the thing that can [ calculate ]\n< David has a mop. Sarah has a knife. Sarah has spray. >. Sarah does not own the thing that can [ clean ]\n< Ruth has a motorcycle. Ruth has a pan. George has a phone. >. Ruth does not own the thing that can [ communicate ]\n< William has a calculator. Sarah has a telegraph. Sarah has a swimsuit. >. Sarah does not own the thing that can [ calculate ]\n< Helen has swim fins. Richard has a mop. Richard has a piano. >. Richard does not own the thing that can [ swim ]\n"}
{"task_id": "task32", "texts": "\n< Donald has a computer. Donald has a roller. Carol has swim fins. >. Donald does not own the thing that can swim\n< Carol has chalk. Carol has a bicycle. David has a piano. >. Carol does not own the thing that can play\n< Maria has a jeep. Brian has a biro. Maria has an abacus. >. Maria does not own the thing that can [ write ]\n< Lisa has a vacuum cleaner. Lisa has a palette. James has a jeep. >. Lisa does not own the thing that can [ drive ]\n< Linda has a telegraph. David has a roller. David has a pan. >. David does not own the thing that can [ communicate ]\n< Donna has a violin. Christopher has a calculator. Donna has a horse. >. Donna does not own the thing that can [ calculate ]\n< Donna has a guitar. Joseph has a jeep. Donna has a biro. >. Donna does not own the thing that can [ drive ]\n< Kimberly has a swimsuit. Charles has a glider. Charles has a roller. >. Charles does not own the thing that can [ swim ]\n"}
{"task_id": "task32", "texts": "\n< William has a brush. Sandra has a computer. Sandra has a phone. >. Sandra does not have the thing that can paint\n< Christopher has chalk. Jennifer has a pan. Christopher has swim fins. >. Christopher does not have the thing that can cook\n< Sandra has swim fins. Edward has a jeep. Sandra has a swimsuit. >. Sandra does not have the thing that can [ drive ]\n< Thomas has a gun. Helen has a swimsuit. Thomas has a guitar. >. Thomas does not have the thing that can [ swim ]\n< Brian has a telegraph. Brian has an oven. Susan has a motorcycle. >. Brian does not have the thing that can [ ride ]\n< Donna has a palette. Edward has a pan. Edward has a horse. >. Edward does not have the thing that can [ paint ]\n< Kimberly has a guitar. Kenneth has a mop. Kenneth has a telegraph. >. Kenneth does not have the thing that can [ play ]\n< Nancy has a car. Nancy has a telegraph. Charles has a piano. >. Nancy does not have the thing that can [ play ]\n"}
{"task_id": "task32", "texts": "\n< Jason has spray. Sandra has a horse. Jason has a pot. >. Jason does not own the thing that can ride\n< Barbara has a mop. Barbara has a jeep. Joseph has a computer. >. Barbara does not own the thing that can calculate\n< Charles has a computer. Dorothy has a mop. Charles has a pot. >. Charles does not own the thing that can [ clean ]\n< Barbara has a phone. Paul has a computer. Barbara has a pot. >. Barbara does not own the thing that can [ calculate ]\n< Edward has a car. Deborah has a gun. Deborah has a radio. >. Deborah does not own the thing that can [ drive ]\n< Kimberly has a swimsuit. Kimberly has a gun. Michael has a pen. >. Kimberly does not own the thing that can [ write ]\n< Linda has a horse. Christopher has a car. Christopher has a swimsuit. >. Christopher does not own the thing that can [ ride ]\n< David has a piano. Deborah has a palette. Deborah has a broom. >. Deborah does not own the thing that can [ play ]\n"}
{"task_id": "task32", "texts": "\n< Elizabeth has chalk. Elizabeth has a computer. Robert has a telephone. >. Elizabeth does not have the thing that can communicate\n< Sarah has a calculator. Brian has a jeep. Sarah has swim fins. >. Sarah does not have the thing that can drive\n< Brian has a phone. Linda has a horse. Brian has a knife. >. Brian does not have the thing that can [ ride ]\n< Dorothy has a piano. Dorothy has a bicycle. David has a biro. >. Dorothy does not have the thing that can [ write ]\n< Sandra has a piano. Robert has a horse. Sandra has a brush. >. Sandra does not have the thing that can [ ride ]\n< Richard has goggles. Donna has a telegraph. Donna has a computer. >. Donna does not have the thing that can [ swim ]\n< Charles has swim fins. Laura has a palette. Laura has a car. >. Laura does not have the thing that can [ swim ]\n< Laura has a helicopter. Kevin has goggles. Kevin has a telephone. >. Kevin does not have the thing that can [ fly ]\n"}
{"task_id": "task32", "texts": "\n< Ruth has goggles. Ruth has a motorcycle. Paul has a violin. >. Ruth does not possess the thing that can play\n< Mark has a jeep. Carol has a pot. Mark has a bicycle. >. Mark does not possess the thing that can cook\n< Kenneth has a telegraph. Laura has a jeep. Kenneth has a mop. >. Kenneth does not possess the thing that can [ drive ]\n< Linda has a glider. Jason has a violin. Jason has a telephone. >. Jason does not possess the thing that can [ fly ]\n< Susan has a broom. Daniel has a violin. Susan has pencils. >. Susan does not possess the thing that can [ play ]\n< Kevin has a telegraph. Dorothy has a pot. Dorothy has a palette. >. Dorothy does not possess the thing that can [ communicate ]\n< Donna has a calculator. Michael has a telegraph. Michael has a pot. >. Michael does not possess the thing that can [ calculate ]\n< Laura has a calculator. Laura has a telephone. Joseph has a broom. >. Laura does not possess the thing that can [ clean ]\n"}
{"task_id": "task32", "texts": "\n< Kevin has a pan. Sharon has a dagger. Kevin has a jeep. >. Kevin does not possess the thing that can kill\n< Jennifer has an abacus. Charles has a violin. Charles has a broom. >. Charles does not possess the thing that can calculate\n< Mark has a violin. Lisa has a pan. Mark has a pen. >. Mark does not possess the thing that can [ cook ]\n< Anthony has a pan. Michelle has a dagger. Michelle has spray. >. Michelle does not possess the thing that can [ cook ]\n< Helen has a helicopter. Helen has goggles. Jason has a jeep. >. Helen does not possess the thing that can [ drive ]\n< Nancy has swim fins. David has a dagger. David has a horse. >. David does not possess the thing that can [ swim ]\n< Richard has an oven. Richard has a biro. Maria has a motorcycle. >. Richard does not possess the thing that can [ ride ]\n< Donna has a pen. Donna has a computer. Steven has a phone. >. Donna does not possess the thing that can [ communicate ]\n"}
{"task_id": "task32", "texts": "\n< William has a roller. William has a motorcycle. Karen has a truck. >. William does not have the thing that can drive\n< Deborah has spray. Jeff has a pen. Deborah has a violin. >. Deborah does not have the thing that can write\n< Charles has a violin. Laura has a bicycle. Laura has pencils. >. Laura does not have the thing that can [ play ]\n< Elizabeth has a pan. Donald has a glider. Elizabeth has a biro. >. Elizabeth does not have the thing that can [ fly ]\n< Ruth has an abacus. Anthony has a knife. Ruth has a roller. >. Ruth does not have the thing that can [ kill ]\n< Sandra has a plane. Kenneth has a guitar. Kenneth has a vacuum cleaner. >. Kenneth does not have the thing that can [ fly ]\n< Ronald has a pan. Ronald has chalk. Mary has goggles. >. Ronald does not have the thing that can [ swim ]\n< George has a knife. George has a roller. Patricia has a calculator. >. George does not have the thing that can [ calculate ]\n"}
{"task_id": "task32", "texts": "\n< Ronald has a pen. Ronald has a telegraph. Susan has a horse. >. Ronald does not have the thing that can ride\n< Dorothy has a glider. Steven has goggles. Dorothy has an abacus. >. Dorothy does not have the thing that can swim\n< Jeff has a dagger. Jeff has a glider. Laura has a piano. >. Jeff does not have the thing that can [ play ]\n< Daniel has a pot. Sarah has a telegraph. Sarah has a helicopter. >. Sarah does not have the thing that can [ cook ]\n< Robert has a horse. Robert has a vacuum cleaner. Elizabeth has swim fins. >. Robert does not have the thing that can [ swim ]\n< Christopher has a pan. Kimberly has a dagger. Kimberly has a pen. >. Kimberly does not have the thing that can [ cook ]\n< Robert has a pen. Robert has a mop. Carol has a jeep. >. Robert does not have the thing that can [ drive ]\n< Ronald has a pot. Jennifer has a truck. Ronald has a pen. >. Ronald does not have the thing that can [ drive ]\n"}
{"task_id": "task32", "texts": "\n< Michelle has a plane. Paul has a vacuum cleaner. Paul has a telephone. >. Paul does not own the thing that can fly\n< Donna has a horse. Edward has a gun. Edward has a helicopter. >. Edward does not own the thing that can ride\n< Charles has pencils. Betty has a phone. Betty has a plane. >. Betty does not own the thing that can [ write ]\n< Mark has goggles. Dorothy has a pan. Dorothy has a violin. >. Dorothy does not own the thing that can [ swim ]\n< Jennifer has a swimsuit. Robert has a roller. Jennifer has pencils. >. Jennifer does not own the thing that can [ paint ]\n< Patricia has a computer. Patricia has a bicycle. Richard has goggles. >. Patricia does not own the thing that can [ swim ]\n< Paul has a glider. Linda has a telephone. Paul has a motorcycle. >. Paul does not own the thing that can [ communicate ]\n< William has a piano. William has a plane. Elizabeth has a telegraph. >. William does not own the thing that can [ communicate ]\n"}
{"task_id": "task33", "texts": "\n< The vacuum cleaner is Ronald's. The car is Maria's. The goggles are Ronald's. >. Ronald does not possess the thing that can drive\n< The vacuum cleaner is Michael's. The palette is Michael's. The guitar is Sharon's. >. Michael does not possess the thing that can play\n< The pencil is Deborah's. The roller is John's. The pot is John's. >. John does not possess the thing that can [ write ]\n< The calculator is Donna's. The pencil is Donna's. The swim fins are Kenneth's. >. Donna does not possess the thing that can [ swim ]\n< The abacus is John's. The car is Lisa's. The spray is Lisa's. >. Lisa does not possess the thing that can [ calculate ]\n< The abacus is Barbara's. The chalk is Joseph's. The violin is Barbara's. >. Barbara does not possess the thing that can [ write ]\n< The goggles are Daniel's. The chalk is Daniel's. The dagger is Susan's. >. Daniel does not possess the thing that can [ kill ]\n< The spray is John's. The abacus is Linda's. The piano is Linda's. >. Linda does not possess the thing that can [ paint ]\n"}
{"task_id": "task33", "texts": "\n< The brush is Jeff's. The telegraph is Jeff's. The plane is Helen's. >. Jeff does not own the thing that can fly\n< The gun is Paul's. The swimsuit is Jennifer's. The mop is Jennifer's. >. Jennifer does not own the thing that can kill\n< The vacuum cleaner is Mark's. The goggles are Jennifer's. The violin is Jennifer's. >. Jennifer does not own the thing that can [ clean ]\n< The brush is David's. The goggles are Karen's. The plane is David's. >. David does not own the thing that can [ swim ]\n< The car is John's. The oven is John's. The telephone is Elizabeth's. >. John does not own the thing that can [ communicate ]\n< The bicycle is William's. The violin is Linda's. The pan is William's. >. William does not own the thing that can [ play ]\n< The knife is Donald's. The swimsuit is Nancy's. The guitar is Donald's. >. Donald does not own the thing that can [ swim ]\n< The car is Michael's. The spray is Michael's. The pan is Michelle's. >. Michael does not own the thing that can [ cook ]\n"}
{"task_id": "task33", "texts": "\n< The jeep is Margaret's. The knife is William's. The glider is Margaret's. >. Margaret does not own the thing that can kill\n< The horse is Karen's. The piano is Karen's. The pen is Richard's. >. Karen does not own the thing that can write\n< The telephone is Betty's. The knife is Betty's. The car is James's. >. Betty does not own the thing that can [ drive ]\n< The vacuum cleaner is Helen's. The computer is Steven's. The palette is Helen's. >. Helen does not own the thing that can [ calculate ]\n< The mop is David's. The knife is Sarah's. The spray is Sarah's. >. Sarah does not own the thing that can [ clean ]\n< The motorcycle is Ruth's. The pan is Ruth's. The phone is George's. >. Ruth does not own the thing that can [ communicate ]\n< The calculator is William's. The telegraph is Sarah's. The swimsuit is Sarah's. >. Sarah does not own the thing that can [ calculate ]\n< The swim fins are Helen's. The mop is Richard's. The piano is Richard's. >. Richard does not own the thing that can [ swim ]\n"}
{"task_id": "task33", "texts": "\n< The computer is Donald's. The roller is Donald's. The swim fins are Carol's. >. Donald does not own the thing that can swim\n< The chalk is Carol's. The bicycle is Carol's. The piano is David's. >. Carol does not own the thing that can play\n< The jeep is Maria's. The biro is Brian's. The abacus is Maria's. >. Maria does not own the thing that can [ write ]\n< The vacuum cleaner is Lisa's. The palette is Lisa's. The jeep is James's. >. Lisa does not own the thing that can [ drive ]\n< The telegraph is Linda's. The roller is David's. The pan is David's. >. David does not own the thing that can [ communicate ]\n< The violin is Donna's. The calculator is Christopher's. The horse is Donna's. >. Donna does not own the thing that can [ calculate ]\n< The guitar is Donna's. The jeep is Joseph's. The biro is Donna's. >. Donna does not own the thing that can [ drive ]\n< The swimsuit is Kimberly's. The glider is Charles's. The roller is Charles's. >. Charles does not own the thing that can [ swim ]\n"}
{"task_id": "task33", "texts": "\n< The brush is William's. The computer is Sandra's. The phone is Sandra's. >. Sandra does not have the thing that can paint\n< The chalk is Christopher's. The pan is Jennifer's. The swim fins are Christopher's. >. Christopher does not have the thing that can cook\n< The swim fins are Sandra's. The jeep is Edward's. The swimsuit is Sandra's. >. Sandra does not have the thing that can [ drive ]\n< The gun is Thomas's. The swimsuit is Helen's. The guitar is Thomas's. >. Thomas does not have the thing that can [ swim ]\n< The telegraph is Brian's. The oven is Brian's. The motorcycle is Susan's. >. Brian does not have the thing that can [ ride ]\n< The palette is Donna's. The pan is Edward's. The horse is Edward's. >. Edward does not have the thing that can [ paint ]\n< The guitar is Kimberly's. The mop is Kenneth's. The telegraph is Kenneth's. >. Kenneth does not have the thing that can [ play ]\n< The car is Nancy's. The telegraph is Nancy's. The piano is Charles's. >. Nancy does not have the thing that can [ play ]\n"}
{"task_id": "task33", "texts": "\n< The spray is Jason's. The horse is Sandra's. The pot is Jason's. >. Jason does not own the thing that can ride\n< The mop is Barbara's. The jeep is Barbara's. The computer is Joseph's. >. Barbara does not own the thing that can calculate\n< The computer is Charles's. The mop is Dorothy's. The pot is Charles's. >. Charles does not own the thing that can [ clean ]\n< The phone is Barbara's. The computer is Paul's. The pot is Barbara's. >. Barbara does not own the thing that can [ calculate ]\n< The car is Edward's. The gun is Deborah's. The radio is Deborah's. >. Deborah does not own the thing that can [ drive ]\n< The swimsuit is Kimberly's. The gun is Kimberly's. The pen is Michael's. >. Kimberly does not own the thing that can [ write ]\n< The horse is Linda's. The car is Christopher's. The swimsuit is Christopher's. >. Christopher does not own the thing that can [ ride ]\n< The piano is David's. The palette is Deborah's. The broom is Deborah's. >. Deborah does not own the thing that can [ play ]\n"}
{"task_id": "task33", "texts": "\n< The chalk is Elizabeth's. The computer is Elizabeth's. The telephone is Robert's. >. Elizabeth does not have the thing that can communicate\n< The calculator is Sarah's. The jeep is Brian's. The swim fins are Sarah's. >. Sarah does not have the thing that can drive\n< The phone is Brian's. The horse is Linda's. The knife is Brian's. >. Brian does not have the thing that can [ ride ]\n< The piano is Dorothy's. The bicycle is Dorothy's. The biro is David's. >. Dorothy does not have the thing that can [ write ]\n< The piano is Sandra's. The horse is Robert's. The brush is Sandra's. >. Sandra does not have the thing that can [ ride ]\n< The goggles are Richard's. The telegraph is Donna's. The computer is Donna's. >. Donna does not have the thing that can [ swim ]\n< The swim fins are Charles's. The palette is Laura's. The car is Laura's. >. Laura does not have the thing that can [ swim ]\n< The helicopter is Laura's. The goggles are Kevin's. The telephone is Kevin's. >. Kevin does not have the thing that can [ fly ]\n"}
{"task_id": "task33", "texts": "\n< The goggles are Ruth's. The motorcycle is Ruth's. The violin is Paul's. >. Ruth does not possess the thing that can play\n< The jeep is Mark's. The pot is Carol's. The bicycle is Mark's. >. Mark does not possess the thing that can cook\n< The telegraph is Kenneth's. The jeep is Laura's. The mop is Kenneth's. >. Kenneth does not possess the thing that can [ drive ]\n< The glider is Linda's. The violin is Jason's. The telephone is Jason's. >. Jason does not possess the thing that can [ fly ]\n< The broom is Susan's. The violin is Daniel's. The pencil is Susan's. >. Susan does not possess the thing that can [ play ]\n< The telegraph is Kevin's. The pot is Dorothy's. The palette is Dorothy's. >. Dorothy does not possess the thing that can [ communicate ]\n< The calculator is Donna's. The telegraph is Michael's. The pot is Michael's. >. Michael does not possess the thing that can [ calculate ]\n< The calculator is Laura's. The telephone is Laura's. The broom is Joseph's. >. Laura does not possess the thing that can [ clean ]\n"}
{"task_id": "task33", "texts": "\n< The pan is Kevin's. The dagger is Sharon's. The jeep is Kevin's. >. Kevin does not possess the thing that can kill\n< The abacus is Jennifer's. The violin is Charles's. The broom is Charles's. >. Charles does not possess the thing that can calculate\n< The violin is Mark's. The pan is Lisa's. The pen is Mark's. >. Mark does not possess the thing that can [ cook ]\n< The pan is Anthony's. The dagger is Michelle's. The spray is Michelle's. >. Michelle does not possess the thing that can [ cook ]\n< The helicopter is Helen's. The goggles are Helen's. The jeep is Jason's. >. Helen does not possess the thing that can [ drive ]\n< The swim fins are Nancy's. The dagger is David's. The horse is David's. >. David does not possess the thing that can [ swim ]\n< The oven is Richard's. The biro is Richard's. The motorcycle is Maria's. >. Richard does not possess the thing that can [ ride ]\n< The pen is Donna's. The computer is Donna's. The phone is Steven's. >. Donna does not possess the thing that can [ communicate ]\n"}
{"task_id": "task33", "texts": "\n< The roller is William's. The motorcycle is William's. The truck is Karen's. >. William does not have the thing that can drive\n< The spray is Deborah's. The pen is Jeff's. The violin is Deborah's. >. Deborah does not have the thing that can write\n< The violin is Charles's. The bicycle is Laura's. The pencil is Laura's. >. Laura does not have the thing that can [ play ]\n< The pan is Elizabeth's. The glider is Donald's. The biro is Elizabeth's. >. Elizabeth does not have the thing that can [ fly ]\n< The abacus is Ruth's. The knife is Anthony's. The roller is Ruth's. >. Ruth does not have the thing that can [ kill ]\n< The plane is Sandra's. The guitar is Kenneth's. The vacuum cleaner is Kenneth's. >. Kenneth does not have the thing that can [ fly ]\n< The pan is Ronald's. The chalk is Ronald's. The goggles are Mary's. >. Ronald does not have the thing that can [ swim ]\n< The knife is George's. The roller is George's. The calculator is Patricia's. >. George does not have the thing that can [ calculate ]\n"}
{"task_id": "task33", "texts": "\n< The pen is Ronald's. The telegraph is Ronald's. The horse is Susan's. >. Ronald does not have the thing that can ride\n< The glider is Dorothy's. The goggles are Steven's. The abacus is Dorothy's. >. Dorothy does not have the thing that can swim\n< The dagger is Jeff's. The glider is Jeff's. The piano is Laura's. >. Jeff does not have the thing that can [ play ]\n< The pot is Daniel's. The telegraph is Sarah's. The helicopter is Sarah's. >. Sarah does not have the thing that can [ cook ]\n< The horse is Robert's. The vacuum cleaner is Robert's. The swim fins are Elizabeth's. >. Robert does not have the thing that can [ swim ]\n< The pan is Christopher's. The dagger is Kimberly's. The pen is Kimberly's. >. Kimberly does not have the thing that can [ cook ]\n< The pen is Robert's. The mop is Robert's. The jeep is Carol's. >. Robert does not have the thing that can [ drive ]\n< The pot is Ronald's. The truck is Jennifer's. The pen is Ronald's. >. Ronald does not have the thing that can [ drive ]\n"}
{"task_id": "task33", "texts": "\n< The plane is Michelle's. The vacuum cleaner is Paul's. The telephone is Paul's. >. Paul does not own the thing that can fly\n< The horse is Donna's. The gun is Edward's. The helicopter is Edward's. >. Edward does not own the thing that can ride\n< The pencil is Charles's. The phone is Betty's. The plane is Betty's. >. Betty does not own the thing that can [ write ]\n< The goggles are Mark's. The pan is Dorothy's. The violin is Dorothy's. >. Dorothy does not own the thing that can [ swim ]\n< The swimsuit is Jennifer's. The roller is Robert's. The pencil is Jennifer's. >. Jennifer does not own the thing that can [ paint ]\n< The computer is Patricia's. The bicycle is Patricia's. The goggles are Richard's. >. Patricia does not own the thing that can [ swim ]\n< The glider is Paul's. The telephone is Linda's. The motorcycle is Paul's. >. Paul does not own the thing that can [ communicate ]\n< The piano is William's. The plane is William's. The telegraph is Elizabeth's. >. William does not own the thing that can [ communicate ]\n"}
{"task_id": "task34", "texts": "\n< Sarah has a car. Steven has spray. Mark has swim fins. >. Mark possesses the thing that can swim\n< Mark has a violin. Christopher has spray. Barbara has chalk. >. Barbara possesses the thing that can write\n< Christopher has a phone. Kimberly has a bicycle. Laura has a gun. >. Kimberly possesses the thing that can [ ride ]\n< Betty has a guitar. Richard has a plane. Ruth has a palette. >. Ruth possesses the thing that can [ paint ]\n< Betty has a gun. Jennifer has a vacuum cleaner. Helen has a pen. >. Helen possesses the thing that can [ write ]\n< Donald has a truck. Kevin has a pot. David has a motorcycle. >. Donald possesses the thing that can [ drive ]\n< Mark has a palette. David has a pan. Paul has a radio. >. David possesses the thing that can [ cook ]\n< Jeff has a vacuum cleaner. Joseph has a helicopter. Christopher has a telephone. >. Jeff possesses the thing that can [ clean ]\n"}
{"task_id": "task34", "texts": "\n< Brian has a gun. Donna has an oven. Mark has a radio. >. Mark possesses the thing that can communicate\n< Karen has goggles. Sarah has a palette. Michelle has a motorcycle. >. Sarah possesses the thing that can paint\n< Thomas has a helicopter. Betty has a computer. Donna has a roller. >. Thomas possesses the thing that can [ fly ]\n< Kimberly has an abacus. Jeff has a pot. Thomas has a biro. >. Jeff possesses the thing that can [ cook ]\n< Thomas has a guitar. Carol has a vacuum cleaner. Ruth has chalk. >. Thomas possesses the thing that can [ play ]\n< Ruth has a telephone. Kenneth has a knife. Margaret has a mop. >. Margaret possesses the thing that can [ clean ]\n< Paul has a biro. Deborah has a pot. Kevin has swim fins. >. Deborah possesses the thing that can [ cook ]\n< Carol has a calculator. Robert has a broom. Anthony has a gun. >. Carol possesses the thing that can [ calculate ]\n"}
{"task_id": "task34", "texts": "\n< Kimberly has swim fins. Karen has a computer. Paul has a violin. >. Paul owns the thing that can play\n< Joseph has an abacus. Maria has a jeep. Betty has pencils. >. Joseph owns the thing that can calculate\n< John has an oven. Lisa has a brush. Nancy has a car. >. Nancy owns the thing that can [ drive ]\n< John has an abacus. David has a biro. Michael has a horse. >. John owns the thing that can [ calculate ]\n< Dorothy has a knife. Deborah has a pan. Kimberly has a brush. >. Kimberly owns the thing that can [ paint ]\n< Joseph has spray. Daniel has a glider. William has a pot. >. Daniel owns the thing that can [ fly ]\n< Dorothy has a radio. Barbara has a gun. Anthony has a jeep. >. Barbara owns the thing that can [ kill ]\n< Laura has a mop. Donna has a phone. Ronald has a vacuum cleaner. >. Donna owns the thing that can [ communicate ]\n"}
{"task_id": "task34", "texts": "\n< Charles has a pot. Donald has a swimsuit. Betty has chalk. >. Donald possesses the thing that can swim\n< Thomas has a gun. Christopher has a mop. George has a car. >. Christopher possesses the thing that can clean\n< Margaret has a horse. Daniel has a mop. Mark has a roller. >. Margaret possesses the thing that can [ ride ]\n< John has a glider. Helen has a calculator. Brian has a horse. >. Brian possesses the thing that can [ ride ]\n< William has a calculator. Jason has a phone. Michelle has a vacuum cleaner. >. William possesses the thing that can [ calculate ]\n< Ronald has a plane. Ruth has a knife. Mark has a vacuum cleaner. >. Mark possesses the thing that can [ clean ]\n< Jeff has a vacuum cleaner. Ronald has a brush. Betty has a biro. >. Ronald possesses the thing that can [ paint ]\n< Susan has goggles. Brian has pencils. Donna has a guitar. >. Susan possesses the thing that can [ swim ]\n"}
{"task_id": "task34", "texts": "\n< Carol has a violin. Lisa has a car. Thomas has spray. >. Thomas owns the thing that can paint\n< Christopher has a telephone. Anthony has a knife. Karen has a brush. >. Anthony owns the thing that can kill\n< Helen has a motorcycle. Jennifer has a broom. Sharon has an abacus. >. Jennifer owns the thing that can [ clean ]\n< Michelle has a plane. Donald has an abacus. Linda has a motorcycle. >. Michelle owns the thing that can [ fly ]\n< Elizabeth has a telegraph. Dorothy has a jeep. Kimberly has a truck. >. Elizabeth owns the thing that can [ communicate ]\n< Deborah has a truck. Edward has a bicycle. Christopher has a swimsuit. >. Deborah owns the thing that can [ drive ]\n< Richard has a truck. Kenneth has a computer. Linda has a gun. >. Linda owns the thing that can [ kill ]\n< Thomas has a broom. Kimberly has a swimsuit. Richard has a brush. >. Thomas owns the thing that can [ clean ]\n"}
{"task_id": "task34", "texts": "\n< Lisa has a jeep. Kevin has a motorcycle. Charles has a glider. >. Kevin has the thing that can ride\n< Betty has a helicopter. Patricia has a truck. Thomas has a mop. >. Thomas has the thing that can clean\n< Margaret has a guitar. Dorothy has a helicopter. Charles has a glider. >. Margaret has the thing that can [ play ]\n< Daniel has a dagger. Ruth has a guitar. John has a telegraph. >. John has the thing that can [ communicate ]\n< Jason has an oven. Sharon has goggles. Thomas has a guitar. >. Sharon has the thing that can [ swim ]\n< Mary has a palette. Daniel has chalk. Elizabeth has a violin. >. Mary has the thing that can [ paint ]\n< Deborah has a pan. Linda has a computer. Jennifer has swim fins. >. Jennifer has the thing that can [ swim ]\n< Linda has pencils. Karen has a roller. George has a jeep. >. George has the thing that can [ drive ]\n"}
{"task_id": "task34", "texts": "\n< William has a pot. George has a piano. Kimberly has a car. >. George possesses the thing that can play\n< Laura has a bicycle. Patricia has a brush. Ronald has chalk. >. Laura possesses the thing that can ride\n< Kimberly has a calculator. Ruth has a vacuum cleaner. Jeff has an oven. >. Jeff possesses the thing that can [ cook ]\n< Kimberly has spray. Helen has a radio. Jason has a plane. >. Jason possesses the thing that can [ fly ]\n< Barbara has a gun. Christopher has an oven. David has a roller. >. Christopher possesses the thing that can [ cook ]\n< Linda has a telegraph. Mary has chalk. Kevin has a jeep. >. Mary possesses the thing that can [ write ]\n< Betty has a vacuum cleaner. Jason has a palette. Jennifer has a glider. >. Betty possesses the thing that can [ clean ]\n< Jennifer has a calculator. Elizabeth has a glider. Donna has a violin. >. Donna possesses the thing that can [ play ]\n"}
{"task_id": "task34", "texts": "\n< Jeff has a pan. Jennifer has a jeep. Michael has a roller. >. Jennifer possesses the thing that can drive\n< George has a helicopter. Kimberly has a car. Mary has an abacus. >. George possesses the thing that can fly\n< James has a helicopter. Sharon has a vacuum cleaner. Steven has a car. >. James possesses the thing that can [ fly ]\n< Michelle has a phone. Joseph has a motorcycle. Jason has goggles. >. Michelle possesses the thing that can [ communicate ]\n< Robert has a jeep. Christopher has a vacuum cleaner. Sharon has a brush. >. Christopher possesses the thing that can [ clean ]\n< Susan has a plane. Nancy has a swimsuit. Jeff has a radio. >. Jeff possesses the thing that can [ communicate ]\n< Laura has a glider. Christopher has a truck. Charles has a knife. >. Charles possesses the thing that can [ kill ]\n< George has an abacus. Brian has a calculator. Nancy has a dagger. >. Nancy possesses the thing that can [ kill ]\n"}
{"task_id": "task34", "texts": "\n< Joseph has a pan. Richard has a violin. Steven has a broom. >. Richard has the thing that can play\n< Jason has a mop. Kimberly has a pot. Ruth has an abacus. >. Kimberly has the thing that can cook\n< Kimberly has a brush. John has a calculator. Maria has a gun. >. Kimberly has the thing that can [ paint ]\n< Kimberly has a truck. Ronald has a knife. Mark has chalk. >. Mark has the thing that can [ write ]\n< Mary has spray. Karen has a pan. Robert has a computer. >. Robert has the thing that can [ calculate ]\n< Kevin has a gun. Sarah has a roller. Donald has a motorcycle. >. Kevin has the thing that can [ kill ]\n< Carol has a pot. Kimberly has a guitar. Lisa has a roller. >. Lisa has the thing that can [ paint ]\n< Jeff has a phone. Elizabeth has an oven. Sharon has a dagger. >. Elizabeth has the thing that can [ cook ]\n"}
{"task_id": "task34", "texts": "\n< Karen has a dagger. Robert has a bicycle. Betty has a pen. >. Robert possesses the thing that can ride\n< Mary has a biro. Patricia has a horse. Sandra has a knife. >. Sandra possesses the thing that can kill\n< Patricia has a roller. Thomas has a pen. Donald has a truck. >. Donald possesses the thing that can [ drive ]\n< Christopher has a computer. David has a swimsuit. Donald has a glider. >. Christopher possesses the thing that can [ calculate ]\n< Michelle has swim fins. Margaret has a radio. Mary has a mop. >. Michelle possesses the thing that can [ swim ]\n< Steven has goggles. Jeff has a computer. Dorothy has a pen. >. Jeff possesses the thing that can [ calculate ]\n< Ruth has pencils. Michelle has spray. Joseph has a radio. >. Michelle possesses the thing that can [ paint ]\n< Karen has a phone. Ruth has a car. Sarah has a guitar. >. Ruth possesses the thing that can [ drive ]\n"}
{"task_id": "task34", "texts": "\n< Nancy has chalk. Lisa has a telegraph. Margaret has a glider. >. Lisa possesses the thing that can communicate\n< Donald has a vacuum cleaner. Nancy has goggles. Kenneth has a brush. >. Donald possesses the thing that can clean\n< Maria has a piano. Karen has a truck. John has a motorcycle. >. Maria possesses the thing that can [ play ]\n< Karen has a roller. Daniel has a calculator. Linda has a broom. >. Linda possesses the thing that can [ clean ]\n< Michelle has a guitar. Joseph has a piano. Jason has a phone. >. Jason possesses the thing that can [ communicate ]\n< George has a motorcycle. Steven has a palette. Karen has a jeep. >. Steven possesses the thing that can [ paint ]\n< Edward has a jeep. George has a telephone. Kenneth has a plane. >. Kenneth possesses the thing that can [ fly ]\n< Sandra has a broom. Barbara has a horse. Jeff has a truck. >. Barbara possesses the thing that can [ ride ]\n"}
{"task_id": "task34", "texts": "\n< Steven has an abacus. Mary has a truck. Sandra has a telegraph. >. Mary has the thing that can drive\n< Margaret has a swimsuit. Christopher has a biro. Patricia has a dagger. >. Christopher has the thing that can write\n< Margaret has a piano. Robert has a broom. Mark has a plane. >. Margaret has the thing that can [ play ]\n< Dorothy has a dagger. Lisa has a swimsuit. Margaret has pencils. >. Dorothy has the thing that can [ kill ]\n< Elizabeth has a palette. Donald has a pot. James has a computer. >. James has the thing that can [ calculate ]\n< Richard has pencils. William has a calculator. Jeff has a pot. >. Richard has the thing that can [ write ]\n< Sharon has a pan. Barbara has a piano. Dorothy has spray. >. Dorothy has the thing that can [ paint ]\n< Donald has a swimsuit. William has a guitar. Kenneth has an abacus. >. Donald has the thing that can [ swim ]\n"}
{"task_id": "task35", "texts": "\n< The car is Sarah's. The spray is Steven's. The swim fins are Mark's. >. Mark possesses the thing that can swim\n< The violin is Mark's. The spray is Christopher's. The chalk is Barbara's. >. Barbara possesses the thing that can write\n< The phone is Christopher's. The bicycle is Kimberly's. The gun is Laura's. >. Kimberly possesses the thing that can [ ride ]\n< The guitar is Betty's. The plane is Richard's. The palette is Ruth's. >. Ruth possesses the thing that can [ paint ]\n< The gun is Betty's. The vacuum cleaner is Jennifer's. The pen is Helen's. >. Helen possesses the thing that can [ write ]\n< The truck is Donald's. The pot is Kevin's. The motorcycle is David's. >. Donald possesses the thing that can [ drive ]\n< The palette is Mark's. The pan is David's. The radio is Paul's. >. David possesses the thing that can [ cook ]\n< The vacuum cleaner is Jeff's. The helicopter is Joseph's. The telephone is Christopher's. >. Jeff possesses the thing that can [ clean ]\n"}
{"task_id": "task35", "texts": "\n< The gun is Brian's. The oven is Donna's. The radio is Mark's. >. Mark possesses the thing that can communicate\n< The goggles are Karen's. The palette is Sarah's. The motorcycle is Michelle's. >. Sarah possesses the thing that can paint\n< The helicopter is Thomas's. The computer is Betty's. The roller is Donna's. >. Thomas possesses the thing that can [ fly ]\n< The abacus is Kimberly's. The pot is Jeff's. The biro is Thomas's. >. Jeff possesses the thing that can [ cook ]\n< The guitar is Thomas's. The vacuum cleaner is Carol's. The chalk is Ruth's. >. Thomas possesses the thing that can [ play ]\n< The telephone is Ruth's. The knife is Kenneth's. The mop is Margaret's. >. Margaret possesses the thing that can [ clean ]\n< The biro is Paul's. The pot is Deborah's. The swim fins are Kevin's. >. Deborah possesses the thing that can [ cook ]\n< The calculator is Carol's. The broom is Robert's. The gun is Anthony's. >. Carol possesses the thing that can [ calculate ]\n"}
{"task_id": "task35", "texts": "\n< The swim fins are Kimberly's. The computer is Karen's. The violin is Paul's. >. Paul owns the thing that can play\n< The abacus is Joseph's. The jeep is Maria's. The pencil is Betty's. >. Joseph owns the thing that can calculate\n< The oven is John's. The brush is Lisa's. The car is Nancy's. >. Nancy owns the thing that can [ drive ]\n< The abacus is John's. The biro is David's. The horse is Michael's. >. John owns the thing that can [ calculate ]\n< The knife is Dorothy's. The pan is Deborah's. The brush is Kimberly's. >. Kimberly owns the thing that can [ paint ]\n< The spray is Joseph's. The glider is Daniel's. The pot is William's. >. Daniel owns the thing that can [ fly ]\n< The radio is Dorothy's. The gun is Barbara's. The jeep is Anthony's. >. Barbara owns the thing that can [ kill ]\n< The mop is Laura's. The phone is Donna's. The vacuum cleaner is Ronald's. >. Donna owns the thing that can [ communicate ]\n"}
{"task_id": "task35", "texts": "\n< The pot is Charles's. The swimsuit is Donald's. The chalk is Betty's. >. Donald possesses the thing that can swim\n< The gun is Thomas's. The mop is Christopher's. The car is George's. >. Christopher possesses the thing that can clean\n< The horse is Margaret's. The mop is Daniel's. The roller is Mark's. >. Margaret possesses the thing that can [ ride ]\n< The glider is John's. The calculator is Helen's. The horse is Brian's. >. Brian possesses the thing that can [ ride ]\n< The calculator is William's. The phone is Jason's. The vacuum cleaner is Michelle's. >. William possesses the thing that can [ calculate ]\n< The plane is Ronald's. The knife is Ruth's. The vacuum cleaner is Mark's. >. Mark possesses the thing that can [ clean ]\n< The vacuum cleaner is Jeff's. The brush is Ronald's. The biro is Betty's. >. Ronald possesses the thing that can [ paint ]\n< The goggles are Susan's. The pencil is Brian's. The guitar is Donna's. >. Susan possesses the thing that can [ swim ]\n"}
{"task_id": "task35", "texts": "\n< The violin is Carol's. The car is Lisa's. The spray is Thomas's. >. Thomas owns the thing that can paint\n< The telephone is Christopher's. The knife is Anthony's. The brush is Karen's. >. Anthony owns the thing that can kill\n< The motorcycle is Helen's. The broom is Jennifer's. The abacus is Sharon's. >. Jennifer owns the thing that can [ clean ]\n< The plane is Michelle's. The abacus is Donald's. The motorcycle is Linda's. >. Michelle owns the thing that can [ fly ]\n< The telegraph is Elizabeth's. The jeep is Dorothy's. The truck is Kimberly's. >. Elizabeth owns the thing that can [ communicate ]\n< The truck is Deborah's. The bicycle is Edward's. The swimsuit is Christopher's. >. Deborah owns the thing that can [ drive ]\n< The truck is Richard's. The computer is Kenneth's. The gun is Linda's. >. Linda owns the thing that can [ kill ]\n< The broom is Thomas's. The swimsuit is Kimberly's. The brush is Richard's. >. Thomas owns the thing that can [ clean ]\n"}
{"task_id": "task35", "texts": "\n< The jeep is Lisa's. The motorcycle is Kevin's. The glider is Charles's. >. Kevin has the thing that can ride\n< The helicopter is Betty's. The truck is Patricia's. The mop is Thomas's. >. Thomas has the thing that can clean\n< The guitar is Margaret's. The helicopter is Dorothy's. The glider is Charles's. >. Margaret has the thing that can [ play ]\n< The dagger is Daniel's. The guitar is Ruth's. The telegraph is John's. >. John has the thing that can [ communicate ]\n< The oven is Jason's. The goggles are Sharon's. The guitar is Thomas's. >. Sharon has the thing that can [ swim ]\n< The palette is Mary's. The chalk is Daniel's. The violin is Elizabeth's. >. Mary has the thing that can [ paint ]\n< The pan is Deborah's. The computer is Linda's. The swim fins are Jennifer's. >. Jennifer has the thing that can [ swim ]\n< The pencil is Linda's. The roller is Karen's. The jeep is George's. >. George has the thing that can [ drive ]\n"}
{"task_id": "task35", "texts": "\n< The pot is William's. The piano is George's. The car is Kimberly's. >. George possesses the thing that can play\n< The bicycle is Laura's. The brush is Patricia's. The chalk is Ronald's. >. Laura possesses the thing that can ride\n< The calculator is Kimberly's. The vacuum cleaner is Ruth's. The oven is Jeff's. >. Jeff possesses the thing that can [ cook ]\n< The spray is Kimberly's. The radio is Helen's. The plane is Jason's. >. Jason possesses the thing that can [ fly ]\n< The gun is Barbara's. The oven is Christopher's. The roller is David's. >. Christopher possesses the thing that can [ cook ]\n< The telegraph is Linda's. The chalk is Mary's. The jeep is Kevin's. >. Mary possesses the thing that can [ write ]\n< The vacuum cleaner is Betty's. The palette is Jason's. The glider is Jennifer's. >. Betty possesses the thing that can [ clean ]\n< The calculator is Jennifer's. The glider is Elizabeth's. The violin is Donna's. >. Donna possesses the thing that can [ play ]\n"}
{"task_id": "task35", "texts": "\n< The pan is Jeff's. The jeep is Jennifer's. The roller is Michael's. >. Jennifer possesses the thing that can drive\n< The helicopter is George's. The car is Kimberly's. The abacus is Mary's. >. George possesses the thing that can fly\n< The helicopter is James's. The vacuum cleaner is Sharon's. The car is Steven's. >. James possesses the thing that can [ fly ]\n< The phone is Michelle's. The motorcycle is Joseph's. The goggles are Jason's. >. Michelle possesses the thing that can [ communicate ]\n< The jeep is Robert's. The vacuum cleaner is Christopher's. The brush is Sharon's. >. Christopher possesses the thing that can [ clean ]\n< The plane is Susan's. The swimsuit is Nancy's. The radio is Jeff's. >. Jeff possesses the thing that can [ communicate ]\n< The glider is Laura's. The truck is Christopher's. The knife is Charles's. >. Charles possesses the thing that can [ kill ]\n< The abacus is George's. The calculator is Brian's. The dagger is Nancy's. >. Nancy possesses the thing that can [ kill ]\n"}
{"task_id": "task35", "texts": "\n< The pan is Joseph's. The violin is Richard's. The broom is Steven's. >. Richard has the thing that can play\n< The mop is Jason's. The pot is Kimberly's. The abacus is Ruth's. >. Kimberly has the thing that can cook\n< The brush is Kimberly's. The calculator is John's. The gun is Maria's. >. Kimberly has the thing that can [ paint ]\n< The truck is Kimberly's. The knife is Ronald's. The chalk is Mark's. >. Mark has the thing that can [ write ]\n< The spray is Mary's. The pan is Karen's. The computer is Robert's. >. Robert has the thing that can [ calculate ]\n< The gun is Kevin's. The roller is Sarah's. The motorcycle is Donald's. >. Kevin has the thing that can [ kill ]\n< The pot is Carol's. The guitar is Kimberly's. The roller is Lisa's. >. Lisa has the thing that can [ paint ]\n< The phone is Jeff's. The oven is Elizabeth's. The dagger is Sharon's. >. Elizabeth has the thing that can [ cook ]\n"}
{"task_id": "task35", "texts": "\n< The dagger is Karen's. The bicycle is Robert's. The pen is Betty's. >. Robert possesses the thing that can ride\n< The biro is Mary's. The horse is Patricia's. The knife is Sandra's. >. Sandra possesses the thing that can kill\n< The roller is Patricia's. The pen is Thomas's. The truck is Donald's. >. Donald possesses the thing that can [ drive ]\n< The computer is Christopher's. The swimsuit is David's. The glider is Donald's. >. Christopher possesses the thing that can [ calculate ]\n< The swim fins are Michelle's. The radio is Margaret's. The mop is Mary's. >. Michelle possesses the thing that can [ swim ]\n< The goggles are Steven's. The computer is Jeff's. The pen is Dorothy's. >. Jeff possesses the thing that can [ calculate ]\n< The pencil is Ruth's. The spray is Michelle's. The radio is Joseph's. >. Michelle possesses the thing that can [ paint ]\n< The phone is Karen's. The car is Ruth's. The guitar is Sarah's. >. Ruth possesses the thing that can [ drive ]\n"}
{"task_id": "task35", "texts": "\n< The chalk is Nancy's. The telegraph is Lisa's. The glider is Margaret's. >. Lisa possesses the thing that can communicate\n< The vacuum cleaner is Donald's. The goggles are Nancy's. The brush is Kenneth's. >. Donald possesses the thing that can clean\n< The piano is Maria's. The truck is Karen's. The motorcycle is John's. >. Maria possesses the thing that can [ play ]\n< The roller is Karen's. The calculator is Daniel's. The broom is Linda's. >. Linda possesses the thing that can [ clean ]\n< The guitar is Michelle's. The piano is Joseph's. The phone is Jason's. >. Jason possesses the thing that can [ communicate ]\n< The motorcycle is George's. The palette is Steven's. The jeep is Karen's. >. Steven possesses the thing that can [ paint ]\n< The jeep is Edward's. The telephone is George's. The plane is Kenneth's. >. Kenneth possesses the thing that can [ fly ]\n< The broom is Sandra's. The horse is Barbara's. The truck is Jeff's. >. Barbara possesses the thing that can [ ride ]\n"}
{"task_id": "task35", "texts": "\n< The abacus is Steven's. The truck is Mary's. The telegraph is Sandra's. >. Mary has the thing that can drive\n< The swimsuit is Margaret's. The biro is Christopher's. The dagger is Patricia's. >. Christopher has the thing that can write\n< The piano is Margaret's. The broom is Robert's. The plane is Mark's. >. Margaret has the thing that can [ play ]\n< The dagger is Dorothy's. The swimsuit is Lisa's. The pencil is Margaret's. >. Dorothy has the thing that can [ kill ]\n< The palette is Elizabeth's. The pot is Donald's. The computer is James's. >. James has the thing that can [ calculate ]\n< The pencil is Richard's. The calculator is William's. The pot is Jeff's. >. Richard has the thing that can [ write ]\n< The pan is Sharon's. The piano is Barbara's. The spray is Dorothy's. >. Dorothy has the thing that can [ paint ]\n< The swimsuit is Donald's. The guitar is William's. The abacus is Kenneth's. >. Donald has the thing that can [ swim ]\n"}
{"task_id": "task36", "texts": "\n< Linda has a radio. Richard has an oven. Steven has a phone. >. Who does not own the thing that can communicate? Richard\n< Betty has a piano. Linda has a guitar. Richard has spray. >. Who does not own the thing that can play? Richard\n< Robert has goggles. Mary has a bicycle. James has a motorcycle. >. Who does not own the thing that can ride? [ Robert ]\n< George has an abacus. Carol has a calculator. Edward has swim fins. >. Who does not own the thing that can calculate? [ Edward ]\n< Sarah has a palette. Ronald has a brush. Charles has goggles. >. Who does not own the thing that can paint? [ Charles ]\n< Susan has a gun. Steven has a palette. Joseph has a brush. >. Who does not own the thing that can paint? [ Susan ]\n< Linda has pencils. Ronald has a biro. Michelle has a telephone. >. Who does not own the thing that can write? [ Michelle ]\n< Barbara has a pot. Laura has a jeep. Betty has a pan. >. Who does not own the thing that can cook? [ Laura ]\n"}
{"task_id": "task36", "texts": "\n< Kevin has a telephone. Anthony has a car. Elizabeth has a jeep. >. Who does not possess the thing that can drive? Kevin\n< Elizabeth has a jeep. Jennifer has a calculator. Carol has a truck. >. Who does not possess the thing that can drive? Jennifer\n< Kevin has a jeep. Carol has a phone. Maria has a truck. >. Who does not possess the thing that can drive? [ Carol ]\n< Kenneth has a telegraph. Jennifer has a horse. Carol has a motorcycle. >. Who does not possess the thing that can ride? [ Kenneth ]\n< William has a swimsuit. Thomas has a pen. Patricia has pencils. >. Who does not possess the thing that can write? [ William ]\n< Betty has a violin. Ronald has a piano. Donald has a pan. >. Who does not possess the thing that can play? [ Donald ]\n< Patricia has a dagger. Elizabeth has a gun. Daniel has a helicopter. >. Who does not possess the thing that can kill? [ Daniel ]\n< Mary has a pen. Susan has a telephone. Dorothy has chalk. >. Who does not possess the thing that can write? [ Susan ]\n"}
{"task_id": "task36", "texts": "\n< Margaret has a calculator. Jennifer has a jeep. James has a truck. >. Who does not have the thing that can drive? Margaret\n< Dorothy has a brush. Laura has a swimsuit. Sarah has swim fins. >. Who does not have the thing that can swim? Dorothy\n< Sarah has a truck. Susan has a car. Sharon has a guitar. >. Who does not have the thing that can drive? [ Sharon ]\n< Sarah has a truck. Thomas has a glider. Elizabeth has a car. >. Who does not have the thing that can drive? [ Thomas ]\n< Kimberly has a pan. Patricia has a pot. Sharon has a jeep. >. Who does not have the thing that can cook? [ Sharon ]\n< Karen has a truck. Patricia has a violin. Linda has a piano. >. Who does not have the thing that can play? [ Karen ]\n< Kenneth has a jeep. Thomas has a truck. Daniel has spray. >. Who does not have the thing that can drive? [ Daniel ]\n< Jeff has a guitar. Edward has a computer. Charles has a violin. >. Who does not have the thing that can play? [ Edward ]\n"}
{"task_id": "task36", "texts": "\n< George has a glider. Margaret has pencils. Thomas has a plane. >. Who does not possess the thing that can fly? Margaret\n< James has a pan. Carol has an oven. Deborah has an abacus. >. Who does not possess the thing that can cook? Deborah\n< Charles has a biro. David has a pen. Michael has a glider. >. Who does not possess the thing that can write? [ Michael ]\n< Nancy has a vacuum cleaner. Deborah has pencils. Karen has a broom. >. Who does not possess the thing that can clean? [ Deborah ]\n< George has a gun. Jennifer has a roller. Sandra has a palette. >. Who does not possess the thing that can paint? [ George ]\n< Mark has chalk. Mary has a pot. Sarah has an oven. >. Who does not possess the thing that can cook? [ Mark ]\n< Donald has a pan. Kevin has a plane. Patricia has an oven. >. Who does not possess the thing that can cook? [ Kevin ]\n< John has a jeep. Ruth has a palette. Ronald has a truck. >. Who does not possess the thing that can drive? [ Ruth ]\n"}
{"task_id": "task36", "texts": "\n< George has a palette. Sharon has a horse. Dorothy has a brush. >. Who does not have the thing that can paint? Sharon\n< Susan has a brush. Kevin has a computer. Brian has a palette. >. Who does not have the thing that can paint? Kevin\n< Kimberly has an abacus. Charles has a bicycle. David has a horse. >. Who does not have the thing that can ride? [ Kimberly ]\n< Helen has a violin. Sharon has a knife. John has a dagger. >. Who does not have the thing that can kill? [ Helen ]\n< George has a truck. Carol has a plane. Anthony has a jeep. >. Who does not have the thing that can drive? [ Carol ]\n< Steven has a violin. Sandra has a roller. Mark has a guitar. >. Who does not have the thing that can play? [ Sandra ]\n< Steven has a violin. James has a guitar. Mary has goggles. >. Who does not have the thing that can play? [ Mary ]\n< Linda has a guitar. Mary has a piano. Charles has a telephone. >. Who does not have the thing that can play? [ Charles ]\n"}
{"task_id": "task36", "texts": "\n< David has a pen. Christopher has a calculator. Steven has a biro. >. Who does not have the thing that can write? Christopher\n< William has a horse. Donna has a piano. Susan has a motorcycle. >. Who does not have the thing that can ride? Donna\n< Deborah has an abacus. Patricia has a radio. Sarah has a telegraph. >. Who does not have the thing that can communicate? [ Deborah ]\n< Helen has a plane. Susan has a glider. Patricia has a phone. >. Who does not have the thing that can fly? [ Patricia ]\n< Donald has a bicycle. Sandra has a motorcycle. Elizabeth has a radio. >. Who does not have the thing that can ride? [ Elizabeth ]\n< Michael has a vacuum cleaner. George has a mop. Sarah has a truck. >. Who does not have the thing that can clean? [ Sarah ]\n< Deborah has a telegraph. James has a horse. Linda has a motorcycle. >. Who does not have the thing that can ride? [ Deborah ]\n< Karen has a telephone. Betty has a telegraph. George has a helicopter. >. Who does not have the thing that can communicate? [ George ]\n"}
{"task_id": "task36", "texts": "\n< Brian has a swimsuit. George has swim fins. Nancy has a violin. >. Who does not own the thing that can swim? Nancy\n< Laura has a mop. Edward has a broom. Dorothy has an abacus. >. Who does not own the thing that can clean? Dorothy\n< Donna has a computer. Mark has a pan. Donald has an oven. >. Who does not own the thing that can cook? [ Donna ]\n< Margaret has a guitar. John has a telephone. Mary has a radio. >. Who does not own the thing that can communicate? [ Margaret ]\n< Richard has a dagger. Karen has a gun. Lisa has an oven. >. Who does not own the thing that can kill? [ Lisa ]\n< Charles has a piano. Betty has a gun. William has a violin. >. Who does not own the thing that can play? [ Betty ]\n< Kimberly has a computer. Michael has a radio. Linda has a calculator. >. Who does not own the thing that can calculate? [ Michael ]\n< Thomas has a calculator. Ronald has an abacus. Lisa has a pan. >. Who does not own the thing that can calculate? [ Lisa ]\n"}
{"task_id": "task36", "texts": "\n< Ronald has a motorcycle. Dorothy has a horse. Edward has a glider. >. Who does not possess the thing that can ride? Edward\n< William has a calculator. Richard has a biro. James has an abacus. >. Who does not possess the thing that can calculate? Richard\n< Richard has pencils. Linda has a pan. David has a biro. >. Who does not possess the thing that can write? [ Linda ]\n< Jeff has a motorcycle. Helen has spray. Susan has a brush. >. Who does not possess the thing that can paint? [ Jeff ]\n< Anthony has a helicopter. Sandra has pencils. Charles has chalk. >. Who does not possess the thing that can write? [ Anthony ]\n< Richard has an oven. Michelle has a pot. Carol has a broom. >. Who does not possess the thing that can cook? [ Carol ]\n< William has a jeep. Margaret has a mop. Jason has a truck. >. Who does not possess the thing that can drive? [ Margaret ]\n< Mark has a motorcycle. William has a telephone. Jennifer has a horse. >. Who does not possess the thing that can ride? [ William ]\n"}
{"task_id": "task36", "texts": "\n< Lisa has a palette. Anthony has swim fins. David has a roller. >. Who does not have the thing that can paint? Anthony\n< Steven has a dagger. Lisa has a jeep. Nancy has a truck. >. Who does not have the thing that can drive? Steven\n< Karen has an oven. Richard has a pot. Helen has a gun. >. Who does not have the thing that can cook? [ Helen ]\n< William has a bicycle. Michelle has a motorcycle. Mary has chalk. >. Who does not have the thing that can ride? [ Mary ]\n< Michelle has a plane. Daniel has a pen. Jennifer has pencils. >. Who does not have the thing that can write? [ Michelle ]\n< Steven has a phone. Jason has a car. Thomas has a radio. >. Who does not have the thing that can communicate? [ Jason ]\n< Jennifer has a car. David has a jeep. Joseph has a vacuum cleaner. >. Who does not have the thing that can drive? [ Joseph ]\n< Jennifer has an oven. Jeff has a pan. Kenneth has a glider. >. Who does not have the thing that can cook? [ Kenneth ]\n"}
{"task_id": "task36", "texts": "\n< David has an oven. Nancy has a pot. Lisa has a gun. >. Who does not possess the thing that can cook? Lisa\n< Christopher has a violin. Betty has a glider. Jason has a helicopter. >. Who does not possess the thing that can fly? Christopher\n< Paul has chalk. Margaret has a knife. Linda has a gun. >. Who does not possess the thing that can kill? [ Paul ]\n< Mark has a radio. William has an abacus. Charles has a telephone. >. Who does not possess the thing that can communicate? [ William ]\n< Richard has a knife. Deborah has a motorcycle. Robert has a dagger. >. Who does not possess the thing that can kill? [ Deborah ]\n< Karen has a mop. Sharon has a glider. Elizabeth has a plane. >. Who does not possess the thing that can fly? [ Karen ]\n< Christopher has a palette. Charles has a biro. John has spray. >. Who does not possess the thing that can paint? [ Charles ]\n< Donald has a knife. Dorothy has a dagger. Paul has a computer. >. Who does not possess the thing that can kill? [ Paul ]\n"}
{"task_id": "task36", "texts": "\n< George has a swimsuit. Mary has a jeep. Anthony has goggles. >. Who does not possess the thing that can swim? Mary\n< Robert has a swimsuit. Maria has a guitar. John has a piano. >. Who does not possess the thing that can play? Robert\n< Jeff has a telegraph. Mary has a phone. Charles has a car. >. Who does not possess the thing that can communicate? [ Charles ]\n< George has a swimsuit. Deborah has a telegraph. Elizabeth has a phone. >. Who does not possess the thing that can communicate? [ George ]\n< Jeff has a brush. Kimberly has a broom. Linda has a vacuum cleaner. >. Who does not possess the thing that can clean? [ Jeff ]\n< Daniel has a pan. Deborah has an oven. Donna has a vacuum cleaner. >. Who does not possess the thing that can cook? [ Donna ]\n< Margaret has a plane. Lisa has chalk. Anthony has a glider. >. Who does not possess the thing that can fly? [ Lisa ]\n< Elizabeth has a pot. Mark has a mop. James has a pan. >. Who does not possess the thing that can cook? [ Mark ]\n"}
{"task_id": "task36", "texts": "\n< Jennifer has a violin. John has a broom. Donald has a vacuum cleaner. >. Who does not own the thing that can clean? Jennifer\n< Daniel has a truck. Ruth has a car. Patricia has a broom. >. Who does not own the thing that can drive? Patricia\n< Donna has a dagger. Laura has a telephone. David has a knife. >. Who does not own the thing that can kill? [ Laura ]\n< Deborah has a helicopter. Barbara has a violin. Ronald has a piano. >. Who does not own the thing that can play? [ Deborah ]\n< David has a pan. Michelle has a pot. Helen has a car. >. Who does not own the thing that can cook? [ Helen ]\n< Michelle has a dagger. Joseph has a violin. Mary has a knife. >. Who does not own the thing that can kill? [ Joseph ]\n< Ronald has pencils. John has a bicycle. Elizabeth has a horse. >. Who does not own the thing that can ride? [ Ronald ]\n< Betty has a pan. Patricia has a roller. Robert has a palette. >. Who does not own the thing that can paint? [ Betty ]\n"}
{"task_id": "task37", "texts": "\n< The radio is Linda's. The oven is Richard's. The phone is Steven's. >. Who does not own the thing that can communicate? Richard\n< The piano is Betty's. The guitar is Linda's. The spray is Richard's. >. Who does not own the thing that can play? Richard\n< The goggles are Robert's. The bicycle is Mary's. The motorcycle is James's. >. Who does not own the thing that can ride? [ Robert ]\n< The abacus is George's. The calculator is Carol's. The swim fins are Edward's. >. Who does not own the thing that can calculate? [ Edward ]\n< The palette is Sarah's. The brush is Ronald's. The goggles are Charles's. >. Who does not own the thing that can paint? [ Charles ]\n< The gun is Susan's. The palette is Steven's. The brush is Joseph's. >. Who does not own the thing that can paint? [ Susan ]\n< The pencil is Linda's. The biro is Ronald's. The telephone is Michelle's. >. Who does not own the thing that can write? [ Michelle ]\n< The pot is Barbara's. The jeep is Laura's. The pan is Betty's. >. Who does not own the thing that can cook? [ Laura ]\n"}
{"task_id": "task37", "texts": "\n< The telephone is Kevin's. The car is Anthony's. The jeep is Elizabeth's. >. Who does not possess the thing that can drive? Kevin\n< The jeep is Elizabeth's. The calculator is Jennifer's. The truck is Carol's. >. Who does not possess the thing that can drive? Jennifer\n< The jeep is Kevin's. The phone is Carol's. The truck is Maria's. >. Who does not possess the thing that can drive? [ Carol ]\n< The telegraph is Kenneth's. The horse is Jennifer's. The motorcycle is Carol's. >. Who does not possess the thing that can ride? [ Kenneth ]\n< The swimsuit is William's. The pen is Thomas's. The pencil is Patricia's. >. Who does not possess the thing that can write? [ William ]\n< The violin is Betty's. The piano is Ronald's. The pan is Donald's. >. Who does not possess the thing that can play? [ Donald ]\n< The dagger is Patricia's. The gun is Elizabeth's. The helicopter is Daniel's. >. Who does not possess the thing that can kill? [ Daniel ]\n< The pen is Mary's. The telephone is Susan's. The chalk is Dorothy's. >. Who does not possess the thing that can write? [ Susan ]\n"}
{"task_id": "task37", "texts": "\n< The calculator is Margaret's. The jeep is Jennifer's. The truck is James's. >. Who does not have the thing that can drive? Margaret\n< The brush is Dorothy's. The swimsuit is Laura's. The swim fins are Sarah's. >. Who does not have the thing that can swim? Dorothy\n< The truck is Sarah's. The car is Susan's. The guitar is Sharon's. >. Who does not have the thing that can drive? [ Sharon ]\n< The truck is Sarah's. The glider is Thomas's. The car is Elizabeth's. >. Who does not have the thing that can drive? [ Thomas ]\n< The pan is Kimberly's. The pot is Patricia's. The jeep is Sharon's. >. Who does not have the thing that can cook? [ Sharon ]\n< The truck is Karen's. The violin is Patricia's. The piano is Linda's. >. Who does not have the thing that can play? [ Karen ]\n< The jeep is Kenneth's. The truck is Thomas's. The spray is Daniel's. >. Who does not have the thing that can drive? [ Daniel ]\n< The guitar is Jeff's. The computer is Edward's. The violin is Charles's. >. Who does not have the thing that can play? [ Edward ]\n"}
{"task_id": "task37", "texts": "\n< The glider is George's. The pencil is Margaret's. The plane is Thomas's. >. Who does not possess the thing that can fly? Margaret\n< The pan is James's. The oven is Carol's. The abacus is Deborah's. >. Who does not possess the thing that can cook? Deborah\n< The biro is Charles's. The pen is David's. The glider is Michael's. >. Who does not possess the thing that can write? [ Michael ]\n< The vacuum cleaner is Nancy's. The pencil is Deborah's. The broom is Karen's. >. Who does not possess the thing that can clean? [ Deborah ]\n< The gun is George's. The roller is Jennifer's. The palette is Sandra's. >. Who does not possess the thing that can paint? [ George ]\n< The chalk is Mark's. The pot is Mary's. The oven is Sarah's. >. Who does not possess the thing that can cook? [ Mark ]\n< The pan is Donald's. The plane is Kevin's. The oven is Patricia's. >. Who does not possess the thing that can cook? [ Kevin ]\n< The jeep is John's. The palette is Ruth's. The truck is Ronald's. >. Who does not possess the thing that can drive? [ Ruth ]\n"}
{"task_id": "task37", "texts": "\n< The palette is George's. The horse is Sharon's. The brush is Dorothy's. >. Who does not have the thing that can paint? Sharon\n< The brush is Susan's. The computer is Kevin's. The palette is Brian's. >. Who does not have the thing that can paint? Kevin\n< The abacus is Kimberly's. The bicycle is Charles's. The horse is David's. >. Who does not have the thing that can ride? [ Kimberly ]\n< The violin is Helen's. The knife is Sharon's. The dagger is John's. >. Who does not have the thing that can kill? [ Helen ]\n< The truck is George's. The plane is Carol's. The jeep is Anthony's. >. Who does not have the thing that can drive? [ Carol ]\n< The violin is Steven's. The roller is Sandra's. The guitar is Mark's. >. Who does not have the thing that can play? [ Sandra ]\n< The violin is Steven's. The guitar is James's. The goggles are Mary's. >. Who does not have the thing that can play? [ Mary ]\n< The guitar is Linda's. The piano is Mary's. The telephone is Charles's. >. Who does not have the thing that can play? [ Charles ]\n"}
{"task_id": "task37", "texts": "\n< The pen is David's. The calculator is Christopher's. The biro is Steven's. >. Who does not have the thing that can write? Christopher\n< The horse is William's. The piano is Donna's. The motorcycle is Susan's. >. Who does not have the thing that can ride? Donna\n< The abacus is Deborah's. The radio is Patricia's. The telegraph is Sarah's. >. Who does not have the thing that can communicate? [ Deborah ]\n< The plane is Helen's. The glider is Susan's. The phone is Patricia's. >. Who does not have the thing that can fly? [ Patricia ]\n< The bicycle is Donald's. The motorcycle is Sandra's. The radio is Elizabeth's. >. Who does not have the thing that can ride? [ Elizabeth ]\n< The vacuum cleaner is Michael's. The mop is George's. The truck is Sarah's. >. Who does not have the thing that can clean? [ Sarah ]\n< The telegraph is Deborah's. The horse is James's. The motorcycle is Linda's. >. Who does not have the thing that can ride? [ Deborah ]\n< The telephone is Karen's. The telegraph is Betty's. The helicopter is George's. >. Who does not have the thing that can communicate? [ George ]\n"}
{"task_id": "task37", "texts": "\n< The swimsuit is Brian's. The swim fins are George's. The violin is Nancy's. >. Who does not own the thing that can swim? Nancy\n< The mop is Laura's. The broom is Edward's. The abacus is Dorothy's. >. Who does not own the thing that can clean? Dorothy\n< The computer is Donna's. The pan is Mark's. The oven is Donald's. >. Who does not own the thing that can cook? [ Donna ]\n< The guitar is Margaret's. The telephone is John's. The radio is Mary's. >. Who does not own the thing that can communicate? [ Margaret ]\n< The dagger is Richard's. The gun is Karen's. The oven is Lisa's. >. Who does not own the thing that can kill? [ Lisa ]\n< The piano is Charles's. The gun is Betty's. The violin is William's. >. Who does not own the thing that can play? [ Betty ]\n< The computer is Kimberly's. The radio is Michael's. The calculator is Linda's. >. Who does not own the thing that can calculate? [ Michael ]\n< The calculator is Thomas's. The abacus is Ronald's. The pan is Lisa's. >. Who does not own the thing that can calculate? [ Lisa ]\n"}
{"task_id": "task37", "texts": "\n< The motorcycle is Ronald's. The horse is Dorothy's. The glider is Edward's. >. Who does not possess the thing that can ride? Edward\n< The calculator is William's. The biro is Richard's. The abacus is James's. >. Who does not possess the thing that can calculate? Richard\n< The pencil is Richard's. The pan is Linda's. The biro is David's. >. Who does not possess the thing that can write? [ Linda ]\n< The motorcycle is Jeff's. The spray is Helen's. The brush is Susan's. >. Who does not possess the thing that can paint? [ Jeff ]\n< The helicopter is Anthony's. The pencil is Sandra's. The chalk is Charles's. >. Who does not possess the thing that can write? [ Anthony ]\n< The oven is Richard's. The pot is Michelle's. The broom is Carol's. >. Who does not possess the thing that can cook? [ Carol ]\n< The jeep is William's. The mop is Margaret's. The truck is Jason's. >. Who does not possess the thing that can drive? [ Margaret ]\n< The motorcycle is Mark's. The telephone is William's. The horse is Jennifer's. >. Who does not possess the thing that can ride? [ William ]\n"}
{"task_id": "task37", "texts": "\n< The palette is Lisa's. The swim fins are Anthony's. The roller is David's. >. Who does not have the thing that can paint? Anthony\n< The dagger is Steven's. The jeep is Lisa's. The truck is Nancy's. >. Who does not have the thing that can drive? Steven\n< The oven is Karen's. The pot is Richard's. The gun is Helen's. >. Who does not have the thing that can cook? [ Helen ]\n< The bicycle is William's. The motorcycle is Michelle's. The chalk is Mary's. >. Who does not have the thing that can ride? [ Mary ]\n< The plane is Michelle's. The pen is Daniel's. The pencil is Jennifer's. >. Who does not have the thing that can write? [ Michelle ]\n< The phone is Steven's. The car is Jason's. The radio is Thomas's. >. Who does not have the thing that can communicate? [ Jason ]\n< The car is Jennifer's. The jeep is David's. The vacuum cleaner is Joseph's. >. Who does not have the thing that can drive? [ Joseph ]\n< The oven is Jennifer's. The pan is Jeff's. The glider is Kenneth's. >. Who does not have the thing that can cook? [ Kenneth ]\n"}
{"task_id": "task37", "texts": "\n< The oven is David's. The pot is Nancy's. The gun is Lisa's. >. Who does not possess the thing that can cook? Lisa\n< The violin is Christopher's. The glider is Betty's. The helicopter is Jason's. >. Who does not possess the thing that can fly? Christopher\n< The chalk is Paul's. The knife is Margaret's. The gun is Linda's. >. Who does not possess the thing that can kill? [ Paul ]\n< The radio is Mark's. The abacus is William's. The telephone is Charles's. >. Who does not possess the thing that can communicate? [ William ]\n< The knife is Richard's. The motorcycle is Deborah's. The dagger is Robert's. >. Who does not possess the thing that can kill? [ Deborah ]\n< The mop is Karen's. The glider is Sharon's. The plane is Elizabeth's. >. Who does not possess the thing that can fly? [ Karen ]\n< The palette is Christopher's. The biro is Charles's. The spray is John's. >. Who does not possess the thing that can paint? [ Charles ]\n< The knife is Donald's. The dagger is Dorothy's. The computer is Paul's. >. Who does not possess the thing that can kill? [ Paul ]\n"}
{"task_id": "task37", "texts": "\n< The swimsuit is George's. The jeep is Mary's. The goggles are Anthony's. >. Who does not possess the thing that can swim? Mary\n< The swimsuit is Robert's. The guitar is Maria's. The piano is John's. >. Who does not possess the thing that can play? Robert\n< The telegraph is Jeff's. The phone is Mary's. The car is Charles's. >. Who does not possess the thing that can communicate? [ Charles ]\n< The swimsuit is George's. The telegraph is Deborah's. The phone is Elizabeth's. >. Who does not possess the thing that can communicate? [ George ]\n< The brush is Jeff's. The broom is Kimberly's. The vacuum cleaner is Linda's. >. Who does not possess the thing that can clean? [ Jeff ]\n< The pan is Daniel's. The oven is Deborah's. The vacuum cleaner is Donna's. >. Who does not possess the thing that can cook? [ Donna ]\n< The plane is Margaret's. The chalk is Lisa's. The glider is Anthony's. >. Who does not possess the thing that can fly? [ Lisa ]\n< The pot is Elizabeth's. The mop is Mark's. The pan is James's. >. Who does not possess the thing that can cook? [ Mark ]\n"}
{"task_id": "task37", "texts": "\n< The violin is Jennifer's. The broom is John's. The vacuum cleaner is Donald's. >. Who does not own the thing that can clean? Jennifer\n< The truck is Daniel's. The car is Ruth's. The broom is Patricia's. >. Who does not own the thing that can drive? Patricia\n< The dagger is Donna's. The telephone is Laura's. The knife is David's. >. Who does not own the thing that can kill? [ Laura ]\n< The helicopter is Deborah's. The violin is Barbara's. The piano is Ronald's. >. Who does not own the thing that can play? [ Deborah ]\n< The pan is David's. The pot is Michelle's. The car is Helen's. >. Who does not own the thing that can cook? [ Helen ]\n< The dagger is Michelle's. The violin is Joseph's. The knife is Mary's. >. Who does not own the thing that can kill? [ Joseph ]\n< The pencil is Ronald's. The bicycle is John's. The horse is Elizabeth's. >. Who does not own the thing that can ride? [ Ronald ]\n< The pan is Betty's. The roller is Patricia's. The palette is Robert's. >. Who does not own the thing that can paint? [ Betty ]\n"}
{"task_id": "task38", "texts": "\n< Patricia has a calculator. Lisa has an oven. Mark has a guitar. >. Who owns the thing that can cook? Lisa\n< Nancy has a calculator. Maria has an oven. Robert has a gun. >. Who owns the thing that can kill? Robert\n< Anthony has a mop. Paul has a car. Lisa has a bicycle. >. Who owns the thing that can ride? [ Lisa ]\n< Ronald has a palette. Nancy has a calculator. Charles has an oven. >. Who owns the thing that can calculate? [ Nancy ]\n< Joseph has a palette. Dorothy has a pan. Ruth has a gun. >. Who owns the thing that can paint? [ Joseph ]\n< Linda has a telegraph. Ronald has a swimsuit. Michelle has chalk. >. Who owns the thing that can write? [ Michelle ]\n< Barbara has a broom. Laura has an oven. Betty has a horse. >. Who owns the thing that can cook? [ Laura ]\n< Edward has chalk. Dorothy has a glider. Donald has a plane. >. Who owns the thing that can write? [ Edward ]\n"}
{"task_id": "task38", "texts": "\n< Susan has a glider. Linda has a knife. James has a bicycle. >. Who owns the thing that can kill? Linda\n< William has a telephone. Jeff has an abacus. Kenneth has a broom. >. Who owns the thing that can clean? Kenneth\n< Michael has a swimsuit. Charles has a phone. Lisa has an abacus. >. Who owns the thing that can swim? [ Michael ]\n< Jeff has a horse. Kevin has a truck. Maria has a guitar. >. Who owns the thing that can ride? [ Jeff ]\n< Edward has a knife. Brian has a guitar. Mark has a plane. >. Who owns the thing that can fly? [ Mark ]\n< Sandra has a bicycle. Donald has a piano. Sarah has a gun. >. Who owns the thing that can play? [ Donald ]\n< Lisa has a piano. Ruth has a palette. Thomas has a dagger. >. Who owns the thing that can play? [ Lisa ]\n< Linda has a mop. Paul has a brush. Jennifer has a motorcycle. >. Who owns the thing that can clean? [ Linda ]\n"}
{"task_id": "task38", "texts": "\n< Betty has chalk. Karen has a computer. John has a brush. >. Who owns the thing that can calculate? Karen\n< Mary has a telephone. William has a knife. Deborah has a mop. >. Who owns the thing that can kill? William\n< Betty has an abacus. Christopher has an oven. Margaret has a phone. >. Who owns the thing that can communicate? [ Margaret ]\n< Michelle has a guitar. Elizabeth has chalk. Susan has a palette. >. Who owns the thing that can paint? [ Susan ]\n< Mary has chalk. Ronald has a plane. Carol has a knife. >. Who owns the thing that can write? [ Mary ]\n< Betty has swim fins. Nancy has a gun. Ronald has pencils. >. Who owns the thing that can swim? [ Betty ]\n< Charles has a pot. Linda has spray. Barbara has a broom. >. Who owns the thing that can cook? [ Charles ]\n< Sarah has a motorcycle. Susan has a pan. Sharon has a car. >. Who owns the thing that can drive? [ Sharon ]\n"}
{"task_id": "task38", "texts": "\n< John has a truck. Helen has a motorcycle. Lisa has an abacus. >. Who has the thing that can drive? John\n< Edward has swim fins. Jennifer has a roller. Elizabeth has a vacuum cleaner. >. Who has the thing that can swim? Edward\n< Kevin has a horse. Mark has a telegraph. Joseph has a roller. >. Who has the thing that can communicate? [ Mark ]\n< Paul has a helicopter. Mark has an abacus. Richard has a glider. >. Who has the thing that can calculate? [ Mark ]\n< Anthony has chalk. Elizabeth has a calculator. George has a piano. >. Who has the thing that can play? [ George ]\n< Daniel has spray. Ronald has a horse. Joseph has a radio. >. Who has the thing that can communicate? [ Joseph ]\n< Linda has pencils. Barbara has a pan. Sarah has a telephone. >. Who has the thing that can write? [ Linda ]\n< Barbara has a palette. Steven has a phone. Sharon has a guitar. >. Who has the thing that can play? [ Sharon ]\n"}
{"task_id": "task38", "texts": "\n< Susan has a truck. Michael has a vacuum cleaner. Anthony has a brush. >. Who owns the thing that can clean? Michael\n< Edward has a pot. Ruth has a telegraph. Carol has a brush. >. Who owns the thing that can cook? Edward\n< Michael has a calculator. William has a truck. Elizabeth has an abacus. >. Who owns the thing that can drive? [ William ]\n< Donna has a mop. Maria has a jeep. Kenneth has a swimsuit. >. Who owns the thing that can drive? [ Maria ]\n< Ronald has a mop. Donald has a biro. Mark has a dagger. >. Who owns the thing that can clean? [ Ronald ]\n< Kevin has goggles. Sharon has a calculator. Michael has a jeep. >. Who owns the thing that can drive? [ Michael ]\n< Jeff has a knife. Brian has a bicycle. George has a telephone. >. Who owns the thing that can communicate? [ George ]\n< Sarah has a palette. Karen has a glider. Maria has a plane. >. Who owns the thing that can paint? [ Sarah ]\n"}
{"task_id": "task38", "texts": "\n< Ruth has a vacuum cleaner. Thomas has spray. William has a motorcycle. >. Who has the thing that can ride? William\n< Kenneth has an oven. Susan has a palette. Carol has chalk. >. Who has the thing that can cook? Kenneth\n< Ruth has a jeep. Robert has an oven. Richard has goggles. >. Who has the thing that can swim? [ Richard ]\n< Ruth has a truck. Sarah has pencils. Linda has a mop. >. Who has the thing that can clean? [ Linda ]\n< Ronald has a horse. Anthony has a calculator. Robert has a phone. >. Who has the thing that can calculate? [ Anthony ]\n< Karen has spray. Sarah has a telegraph. Jason has a motorcycle. >. Who has the thing that can ride? [ Jason ]\n< Maria has a brush. Mark has a truck. Jennifer has a pan. >. Who has the thing that can paint? [ Maria ]\n< George has a computer. Kevin has a pot. Sarah has goggles. >. Who has the thing that can cook? [ Kevin ]\n"}
{"task_id": "task38", "texts": "\n< Carol has a jeep. Ruth has a mop. Deborah has a telephone. >. Who owns the thing that can communicate? Deborah\n< Thomas has a pan. Ruth has a horse. Carol has a mop. >. Who owns the thing that can cook? Thomas\n< Ruth has a vacuum cleaner. Margaret has a telephone. Betty has a pen. >. Who owns the thing that can write? [ Betty ]\n< Anthony has a car. Kevin has a piano. Ronald has a telegraph. >. Who owns the thing that can play? [ Kevin ]\n< Michelle has a telegraph. Charles has goggles. Helen has chalk. >. Who owns the thing that can swim? [ Charles ]\n< Patricia has a telegraph. Kimberly has a violin. Brian has spray. >. Who owns the thing that can communicate? [ Patricia ]\n< Betty has a brush. Joseph has a vacuum cleaner. Maria has a plane. >. Who owns the thing that can clean? [ Joseph ]\n< Michelle has a motorcycle. Lisa has a piano. Kevin has a plane. >. Who owns the thing that can play? [ Lisa ]\n"}
{"task_id": "task38", "texts": "\n< Anthony has a car. Christopher has a knife. Jason has a telephone. >. Who owns the thing that can drive? Anthony\n< Daniel has a pan. Jason has a knife. Anthony has a phone. >. Who owns the thing that can communicate? Anthony\n< Carol has a glider. Nancy has a pot. Margaret has spray. >. Who owns the thing that can fly? [ Carol ]\n< Betty has a gun. Brian has a jeep. Donna has a radio. >. Who owns the thing that can kill? [ Betty ]\n< Brian has a mop. Michael has a broom. Donald has a gun. >. Who owns the thing that can kill? [ Donald ]\n< Ronald has a glider. Barbara has a jeep. Kenneth has a telegraph. >. Who owns the thing that can drive? [ Barbara ]\n< Christopher has a telephone. Laura has a dagger. Joseph has a pan. >. Who owns the thing that can kill? [ Laura ]\n< Mary has goggles. Jeff has a truck. Thomas has pencils. >. Who owns the thing that can swim? [ Mary ]\n"}
{"task_id": "task38", "texts": "\n< Linda has an oven. Maria has a plane. Edward has a radio. >. Who possesses the thing that can fly? Maria\n< Mary has a guitar. Karen has a broom. Susan has a vacuum cleaner. >. Who possesses the thing that can play? Mary\n< Jennifer has swim fins. Jeff has a roller. Kenneth has a pot. >. Who possesses the thing that can cook? [ Kenneth ]\n< Maria has a computer. Kenneth has spray. Laura has a gun. >. Who possesses the thing that can paint? [ Kenneth ]\n< Laura has a plane. Karen has a jeep. Nancy has a telephone. >. Who possesses the thing that can drive? [ Karen ]\n< Carol has a truck. Joseph has pencils. Betty has a brush. >. Who possesses the thing that can drive? [ Carol ]\n< Thomas has a bicycle. Paul has a biro. Michelle has a piano. >. Who possesses the thing that can write? [ Paul ]\n< Patricia has an oven. Ruth has a swimsuit. Linda has a horse. >. Who possesses the thing that can ride? [ Linda ]\n"}
{"task_id": "task38", "texts": "\n< Jason has a plane. Steven has an abacus. Dorothy has a motorcycle. >. Who owns the thing that can fly? Jason\n< Anthony has a truck. Mary has a vacuum cleaner. Edward has a jeep. >. Who owns the thing that can clean? Mary\n< Susan has a bicycle. Elizabeth has a swimsuit. Laura has a truck. >. Who owns the thing that can drive? [ Laura ]\n< Donald has a computer. Richard has a plane. Dorothy has a truck. >. Who owns the thing that can fly? [ Richard ]\n< Deborah has a piano. Margaret has a gun. Edward has a brush. >. Who owns the thing that can kill? [ Margaret ]\n< Jennifer has a pan. Christopher has a truck. Mary has a calculator. >. Who owns the thing that can cook? [ Jennifer ]\n< Kenneth has a phone. Donna has a biro. Michelle has a dagger. >. Who owns the thing that can kill? [ Michelle ]\n< Helen has a car. Edward has spray. Susan has a bicycle. >. Who owns the thing that can drive? [ Helen ]\n"}
{"task_id": "task38", "texts": "\n< Linda has a calculator. Jeff has a piano. Edward has a guitar. >. Who possesses the thing that can calculate? Linda\n< Steven has goggles. Brian has spray. Sharon has a jeep. >. Who possesses the thing that can drive? Sharon\n< Anthony has a computer. Michael has a car. Donald has a knife. >. Who possesses the thing that can calculate? [ Anthony ]\n< Helen has goggles. Robert has a violin. Linda has spray. >. Who possesses the thing that can play? [ Robert ]\n< Dorothy has an oven. Ronald has a pot. Kenneth has a broom. >. Who possesses the thing that can clean? [ Kenneth ]\n< David has goggles. James has a swimsuit. Laura has a car. >. Who possesses the thing that can drive? [ Laura ]\n< Paul has a pen. Edward has a calculator. Brian has a plane. >. Who possesses the thing that can write? [ Paul ]\n< Mary has a violin. John has a telephone. Susan has a bicycle. >. Who possesses the thing that can communicate? [ John ]\n"}
{"task_id": "task38", "texts": "\n< Edward has a pen. Steven has a jeep. Christopher has a computer. >. Who owns the thing that can drive? Steven\n< Ronald has chalk. Charles has a knife. Karen has a truck. >. Who owns the thing that can write? Ronald\n< Ronald has a pan. Richard has a horse. Michael has chalk. >. Who owns the thing that can ride? [ Richard ]\n< Linda has goggles. Lisa has a vacuum cleaner. Charles has a roller. >. Who owns the thing that can swim? [ Linda ]\n< Sharon has a pot. Mary has a pan. Jeff has a helicopter. >. Who owns the thing that can fly? [ Jeff ]\n< Paul has a roller. Sandra has a broom. Kenneth has a knife. >. Who owns the thing that can kill? [ Kenneth ]\n< Lisa has an abacus. James has a pot. Mary has chalk. >. Who owns the thing that can cook? [ James ]\n< Mark has goggles. Ronald has chalk. Anthony has a plane. >. Who owns the thing that can swim? [ Mark ]\n"}
{"task_id": "task39", "texts": "\n< The calculator is Patricia's. The oven is Lisa's. The guitar is Mark's. >. Who owns the thing that can cook? Lisa\n< The calculator is Nancy's. The oven is Maria's. The gun is Robert's. >. Who owns the thing that can kill? Robert\n< The mop is Anthony's. The car is Paul's. The bicycle is Lisa's. >. Who owns the thing that can ride? [ Lisa ]\n< The palette is Ronald's. The calculator is Nancy's. The oven is Charles's. >. Who owns the thing that can calculate? [ Nancy ]\n< The palette is Joseph's. The pan is Dorothy's. The gun is Ruth's. >. Who owns the thing that can paint? [ Joseph ]\n< The telegraph is Linda's. The swimsuit is Ronald's. The chalk is Michelle's. >. Who owns the thing that can write? [ Michelle ]\n< The broom is Barbara's. The oven is Laura's. The horse is Betty's. >. Who owns the thing that can cook? [ Laura ]\n< The chalk is Edward's. The glider is Dorothy's. The plane is Donald's. >. Who owns the thing that can write? [ Edward ]\n"}
{"task_id": "task39", "texts": "\n< The glider is Susan's. The knife is Linda's. The bicycle is James's. >. Who owns the thing that can kill? Linda\n< The telephone is William's. The abacus is Jeff's. The broom is Kenneth's. >. Who owns the thing that can clean? Kenneth\n< The swimsuit is Michael's. The phone is Charles's. The abacus is Lisa's. >. Who owns the thing that can swim? [ Michael ]\n< The horse is Jeff's. The truck is Kevin's. The guitar is Maria's. >. Who owns the thing that can ride? [ Jeff ]\n< The knife is Edward's. The guitar is Brian's. The plane is Mark's. >. Who owns the thing that can fly? [ Mark ]\n< The bicycle is Sandra's. The piano is Donald's. The gun is Sarah's. >. Who owns the thing that can play? [ Donald ]\n< The piano is Lisa's. The palette is Ruth's. The dagger is Thomas's. >. Who owns the thing that can play? [ Lisa ]\n< The mop is Linda's. The brush is Paul's. The motorcycle is Jennifer's. >. Who owns the thing that can clean? [ Linda ]\n"}
{"task_id": "task39", "texts": "\n< The chalk is Betty's. The computer is Karen's. The brush is John's. >. Who owns the thing that can calculate? Karen\n< The telephone is Mary's. The knife is William's. The mop is Deborah's. >. Who owns the thing that can kill? William\n< The abacus is Betty's. The oven is Christopher's. The phone is Margaret's. >. Who owns the thing that can communicate? [ Margaret ]\n< The guitar is Michelle's. The chalk is Elizabeth's. The palette is Susan's. >. Who owns the thing that can paint? [ Susan ]\n< The chalk is Mary's. The plane is Ronald's. The knife is Carol's. >. Who owns the thing that can write? [ Mary ]\n< The swim fins are Betty's. The gun is Nancy's. The pencil is Ronald's. >. Who owns the thing that can swim? [ Betty ]\n< The pot is Charles's. The spray is Linda's. The broom is Barbara's. >. Who owns the thing that can cook? [ Charles ]\n< The motorcycle is Sarah's. The pan is Susan's. The car is Sharon's. >. Who owns the thing that can drive? [ Sharon ]\n"}
{"task_id": "task39", "texts": "\n< The truck is John's. The motorcycle is Helen's. The abacus is Lisa's. >. Who has the thing that can drive? John\n< The swim fins are Edward's. The roller is Jennifer's. The vacuum cleaner is Elizabeth's. >. Who has the thing that can swim? Edward\n< The horse is Kevin's. The telegraph is Mark's. The roller is Joseph's. >. Who has the thing that can communicate? [ Mark ]\n< The helicopter is Paul's. The abacus is Mark's. The glider is Richard's. >. Who has the thing that can calculate? [ Mark ]\n< The chalk is Anthony's. The calculator is Elizabeth's. The piano is George's. >. Who has the thing that can play? [ George ]\n< The spray is Daniel's. The horse is Ronald's. The radio is Joseph's. >. Who has the thing that can communicate? [ Joseph ]\n< The pencil is Linda's. The pan is Barbara's. The telephone is Sarah's. >. Who has the thing that can write? [ Linda ]\n< The palette is Barbara's. The phone is Steven's. The guitar is Sharon's. >. Who has the thing that can play? [ Sharon ]\n"}
{"task_id": "task39", "texts": "\n< The truck is Susan's. The vacuum cleaner is Michael's. The brush is Anthony's. >. Who owns the thing that can clean? Michael\n< The pot is Edward's. The telegraph is Ruth's. The brush is Carol's. >. Who owns the thing that can cook? Edward\n< The calculator is Michael's. The truck is William's. The abacus is Elizabeth's. >. Who owns the thing that can drive? [ William ]\n< The mop is Donna's. The jeep is Maria's. The swimsuit is Kenneth's. >. Who owns the thing that can drive? [ Maria ]\n< The mop is Ronald's. The biro is Donald's. The dagger is Mark's. >. Who owns the thing that can clean? [ Ronald ]\n< The goggles are Kevin's. The calculator is Sharon's. The jeep is Michael's. >. Who owns the thing that can drive? [ Michael ]\n< The knife is Jeff's. The bicycle is Brian's. The telephone is George's. >. Who owns the thing that can communicate? [ George ]\n< The palette is Sarah's. The glider is Karen's. The plane is Maria's. >. Who owns the thing that can paint? [ Sarah ]\n"}
{"task_id": "task39", "texts": "\n< The vacuum cleaner is Ruth's. The spray is Thomas's. The motorcycle is William's. >. Who has the thing that can ride? William\n< The oven is Kenneth's. The palette is Susan's. The chalk is Carol's. >. Who has the thing that can cook? Kenneth\n< The jeep is Ruth's. The oven is Robert's. The goggles are Richard's. >. Who has the thing that can swim? [ Richard ]\n< The truck is Ruth's. The pencil is Sarah's. The mop is Linda's. >. Who has the thing that can clean? [ Linda ]\n< The horse is Ronald's. The calculator is Anthony's. The phone is Robert's. >. Who has the thing that can calculate? [ Anthony ]\n< The spray is Karen's. The telegraph is Sarah's. The motorcycle is Jason's. >. Who has the thing that can ride? [ Jason ]\n< The brush is Maria's. The truck is Mark's. The pan is Jennifer's. >. Who has the thing that can paint? [ Maria ]\n< The computer is George's. The pot is Kevin's. The goggles are Sarah's. >. Who has the thing that can cook? [ Kevin ]\n"}
{"task_id": "task39", "texts": "\n< The jeep is Carol's. The mop is Ruth's. The telephone is Deborah's. >. Who owns the thing that can communicate? Deborah\n< The pan is Thomas's. The horse is Ruth's. The mop is Carol's. >. Who owns the thing that can cook? Thomas\n< The vacuum cleaner is Ruth's. The telephone is Margaret's. The pen is Betty's. >. Who owns the thing that can write? [ Betty ]\n< The car is Anthony's. The piano is Kevin's. The telegraph is Ronald's. >. Who owns the thing that can play? [ Kevin ]\n< The telegraph is Michelle's. The goggles are Charles's. The chalk is Helen's. >. Who owns the thing that can swim? [ Charles ]\n< The telegraph is Patricia's. The violin is Kimberly's. The spray is Brian's. >. Who owns the thing that can communicate? [ Patricia ]\n< The brush is Betty's. The vacuum cleaner is Joseph's. The plane is Maria's. >. Who owns the thing that can clean? [ Joseph ]\n< The motorcycle is Michelle's. The piano is Lisa's. The plane is Kevin's. >. Who owns the thing that can play? [ Lisa ]\n"}
{"task_id": "task39", "texts": "\n< The car is Anthony's. The knife is Christopher's. The telephone is Jason's. >. Who owns the thing that can drive? Anthony\n< The pan is Daniel's. The knife is Jason's. The phone is Anthony's. >. Who owns the thing that can communicate? Anthony\n< The glider is Carol's. The pot is Nancy's. The spray is Margaret's. >. Who owns the thing that can fly? [ Carol ]\n< The gun is Betty's. The jeep is Brian's. The radio is Donna's. >. Who owns the thing that can kill? [ Betty ]\n< The mop is Brian's. The broom is Michael's. The gun is Donald's. >. Who owns the thing that can kill? [ Donald ]\n< The glider is Ronald's. The jeep is Barbara's. The telegraph is Kenneth's. >. Who owns the thing that can drive? [ Barbara ]\n< The telephone is Christopher's. The dagger is Laura's. The pan is Joseph's. >. Who owns the thing that can kill? [ Laura ]\n< The goggles are Mary's. The truck is Jeff's. The pencil is Thomas's. >. Who owns the thing that can swim? [ Mary ]\n"}
{"task_id": "task39", "texts": "\n< The oven is Linda's. The plane is Maria's. The radio is Edward's. >. Who possesses the thing that can fly? Maria\n< The guitar is Mary's. The broom is Karen's. The vacuum cleaner is Susan's. >. Who possesses the thing that can play? Mary\n< The swim fins are Jennifer's. The roller is Jeff's. The pot is Kenneth's. >. Who possesses the thing that can cook? [ Kenneth ]\n< The computer is Maria's. The spray is Kenneth's. The gun is Laura's. >. Who possesses the thing that can paint? [ Kenneth ]\n< The plane is Laura's. The jeep is Karen's. The telephone is Nancy's. >. Who possesses the thing that can drive? [ Karen ]\n< The truck is Carol's. The pencil is Joseph's. The brush is Betty's. >. Who possesses the thing that can drive? [ Carol ]\n< The bicycle is Thomas's. The biro is Paul's. The piano is Michelle's. >. Who possesses the thing that can write? [ Paul ]\n< The oven is Patricia's. The swimsuit is Ruth's. The horse is Linda's. >. Who possesses the thing that can ride? [ Linda ]\n"}
{"task_id": "task39", "texts": "\n< The plane is Jason's. The abacus is Steven's. The motorcycle is Dorothy's. >. Who owns the thing that can fly? Jason\n< The truck is Anthony's. The vacuum cleaner is Mary's. The jeep is Edward's. >. Who owns the thing that can clean? Mary\n< The bicycle is Susan's. The swimsuit is Elizabeth's. The truck is Laura's. >. Who owns the thing that can drive? [ Laura ]\n< The computer is Donald's. The plane is Richard's. The truck is Dorothy's. >. Who owns the thing that can fly? [ Richard ]\n< The piano is Deborah's. The gun is Margaret's. The brush is Edward's. >. Who owns the thing that can kill? [ Margaret ]\n< The pan is Jennifer's. The truck is Christopher's. The calculator is Mary's. >. Who owns the thing that can cook? [ Jennifer ]\n< The phone is Kenneth's. The biro is Donna's. The dagger is Michelle's. >. Who owns the thing that can kill? [ Michelle ]\n< The car is Helen's. The spray is Edward's. The bicycle is Susan's. >. Who owns the thing that can drive? [ Helen ]\n"}
{"task_id": "task39", "texts": "\n< The calculator is Linda's. The piano is Jeff's. The guitar is Edward's. >. Who possesses the thing that can calculate? Linda\n< The goggles are Steven's. The spray is Brian's. The jeep is Sharon's. >. Who possesses the thing that can drive? Sharon\n< The computer is Anthony's. The car is Michael's. The knife is Donald's. >. Who possesses the thing that can calculate? [ Anthony ]\n< The goggles are Helen's. The violin is Robert's. The spray is Linda's. >. Who possesses the thing that can play? [ Robert ]\n< The oven is Dorothy's. The pot is Ronald's. The broom is Kenneth's. >. Who possesses the thing that can clean? [ Kenneth ]\n< The goggles are David's. The swimsuit is James's. The car is Laura's. >. Who possesses the thing that can drive? [ Laura ]\n< The pen is Paul's. The calculator is Edward's. The plane is Brian's. >. Who possesses the thing that can write? [ Paul ]\n< The violin is Mary's. The telephone is John's. The bicycle is Susan's. >. Who possesses the thing that can communicate? [ John ]\n"}
{"task_id": "task39", "texts": "\n< The pen is Edward's. The jeep is Steven's. The computer is Christopher's. >. Who owns the thing that can drive? Steven\n< The chalk is Ronald's. The knife is Charles's. The truck is Karen's. >. Who owns the thing that can write? Ronald\n< The pan is Ronald's. The horse is Richard's. The chalk is Michael's. >. Who owns the thing that can ride? [ Richard ]\n< The goggles are Linda's. The vacuum cleaner is Lisa's. The roller is Charles's. >. Who owns the thing that can swim? [ Linda ]\n< The pot is Sharon's. The pan is Mary's. The helicopter is Jeff's. >. Who owns the thing that can fly? [ Jeff ]\n< The roller is Paul's. The broom is Sandra's. The knife is Kenneth's. >. Who owns the thing that can kill? [ Kenneth ]\n< The abacus is Lisa's. The pot is James's. The chalk is Mary's. >. Who owns the thing that can cook? [ James ]\n< The goggles are Mark's. The chalk is Ronald's. The plane is Anthony's. >. Who owns the thing that can swim? [ Mark ]\n"}
{"task_id": "task40", "texts": "\n< George is bad. Barbara is safe. Barbara is poor. >. Barbara is not the opposite of good\n< Mary is clean. Christopher is optimistic. Christopher is careless. >. Christopher is not the opposite of dirty\n< James is unfriendly. James is poor. Deborah is pessimistic. >. James is not the opposite of [ optimistic ]\n< Jeff is ignorant. Sandra is boring. Jeff is rich. >. Jeff is not the opposite of [ interesting ]\n< Linda is interesting. Anthony is correct. Linda is optimistic. >. Linda is not the opposite of [ incorrect ]\n< Deborah is unfriendly. Deborah is loyal. Anthony is incorrect. >. Deborah is not the opposite of [ correct ]\n< Donald is comfortable. Donald is right. Maria is knowledgeable. >. Donald is not the opposite of [ ignorant ]\n< Jeff is incorrect. Jeff is tall. Donna is healthy. >. Jeff is not the opposite of [ unhealthy ]\n"}
{"task_id": "task40", "texts": "\n< Maria is uncomfortable. William is poor. William is unfriendly. >. William is not the opposite of comfortable\n< Helen is safe. Helen is beautiful. Edward is uncomfortable. >. Helen is not the opposite of comfortable\n< Anthony is fast. Elizabeth is pessimistic. Anthony is right. >. Anthony is not the opposite of [ optimistic ]\n< Brian is correct. Ruth is stingy. Ruth is sick. >. Ruth is not the opposite of [ incorrect ]\n< Sarah is correct. Robert is clean. Robert is unlucky. >. Robert is not the opposite of [ incorrect ]\n< Barbara is unpopular. Joseph is slow. Barbara is unlucky. >. Barbara is not the opposite of [ fast ]\n< Susan is careful. Daniel is short. Daniel is careless. >. Daniel is not the opposite of [ careless ]\n< Ronald is irresponsible. Ronald is unpopular. Deborah is rich. >. Ronald is not the opposite of [ poor ]\n"}
{"task_id": "task40", "texts": "\n< Helen is sad. Robert is friendly. Helen is passive. >. Helen is not the opposite of unfriendly\n< Charles is disloyal. Lisa is ignorant. Charles is beautiful. >. Charles is not the opposite of knowledgeable\n< Thomas is sick. Jennifer is uncomfortable. Jennifer is ugly. >. Jennifer is not the opposite of [ healthy ]\n< Kenneth is unlucky. Dorothy is irresponsible. Kenneth is strong. >. Kenneth is not the opposite of [ responsible ]\n< Betty is strong. Ronald is short. Ronald is dangerous. >. Ronald is not the opposite of [ weak ]\n< Robert is honest. Robert is boring. Sarah is dishonest. >. Robert is not the opposite of [ honest ]\n< Daniel is responsible. Daniel is active. Sandra is slow. >. Daniel is not the opposite of [ fast ]\n< Nancy is unfriendly. Michael is happy. Nancy is pessimistic. >. Nancy is not the opposite of [ sad ]\n"}
{"task_id": "task40", "texts": "\n< Lisa is ignorant. Mark is sad. Lisa is irresponsible. >. Lisa is not the opposite of happy\n< Laura is wrong. Christopher is boring. Christopher is uncomfortable. >. Christopher is not the opposite of right\n< Sarah is rational. Sarah is rich. Brian is incorrect. >. Sarah is not the opposite of [ correct ]\n< Jennifer is happy. Jennifer is careful. Thomas is bad. >. Jennifer is not the opposite of [ good ]\n< Maria is dishonest. Kevin is bad. Kevin is successful. >. Kevin is not the opposite of [ honest ]\n< Ronald is pessimistic. Ronald is tall. Deborah is dangerous. >. Ronald is not the opposite of [ safe ]\n< Charles is dishonest. Ruth is happy. Charles is weak. >. Charles is not the opposite of [ unhappy ]\n< Jeff is sad. Ruth is careless. Jeff is unreliable. >. Jeff is not the opposite of [ careful ]\n"}
{"task_id": "task40", "texts": "\n< Barbara is safe. Daniel is sad. Barbara is unfriendly. >. Barbara is not the opposite of happy\n< Michelle is knowledgeable. Kenneth is uncomfortable. Kenneth is happy. >. Kenneth is not the opposite of ignorant\n< Laura is sick. Kevin is dirty. Laura is loyal. >. Laura is not the opposite of [ clean ]\n< Donald is wrong. Donald is irresponsible. Laura is successful. >. Donald is not the opposite of [ unsuccessful ]\n< Lisa is weak. Michael is cowardly. Lisa is rational. >. Lisa is not the opposite of [ brave ]\n< Mary is healthy. Mary is generous. Edward is tall. >. Mary is not the opposite of [ short ]\n< Karen is irresponsible. Joseph is unlucky. Joseph is dirty. >. Joseph is not the opposite of [ responsible ]\n< John is dishonest. John is successful. Barbara is healthy. >. John is not the opposite of [ sick ]\n"}
{"task_id": "task40", "texts": "\n< Betty is dangerous. Betty is sick. George is irresponsible. >. Betty is not the opposite of responsible\n< Richard is disloyal. Ruth is unfriendly. Richard is knowledgeable. >. Richard is not the opposite of friendly\n< Helen is boring. Richard is careful. Richard is careless. >. Richard is not the opposite of [ interesting ]\n< Betty is passive. Betty is unreliable. Charles is dangerous. >. Betty is not the opposite of [ safe ]\n< Elizabeth is slow. Brian is weak. Brian is rational. >. Brian is not the opposite of [ fast ]\n< Dorothy is popular. Dorothy is pessimistic. Edward is successful. >. Dorothy is not the opposite of [ unsuccessful ]\n< Susan is passive. Jason is cowardly. Susan is clean. >. Susan is not the opposite of [ brave ]\n< Donald is unreliable. Donald is careless. Donna is correct. >. Donald is not the opposite of [ incorrect ]\n"}
{"task_id": "task40", "texts": "\n< Jason is comfortable. Ruth is unfriendly. Jason is wrong. >. Jason is not the opposite of friendly\n< Dorothy is weak. Joseph is strong. Joseph is irresponsible. >. Joseph is not the opposite of strong\n< Kimberly is slow. Kimberly is knowledgeable. Jason is careless. >. Kimberly is not the opposite of [ careful ]\n< Joseph is beautiful. Elizabeth is unreliable. Joseph is lucky. >. Joseph is not the opposite of [ reliable ]\n< Jennifer is boring. Ronald is lucky. Ronald is friendly. >. Ronald is not the opposite of [ interesting ]\n< Margaret is optimistic. Mark is responsible. Mark is ignorant. >. Mark is not the opposite of [ pessimistic ]\n< David is tall. David is unlucky. Lisa is unsuccessful. >. David is not the opposite of [ successful ]\n< William is ugly. Donna is honest. Donna is healthy. >. Donna is not the opposite of [ beautiful ]\n"}
{"task_id": "task40", "texts": "\n< Kenneth is wrong. Michelle is boring. Michelle is slow. >. Michelle is not the opposite of right\n< Anthony is knowledgeable. Karen is passive. Karen is reliable. >. Karen is not the opposite of ignorant\n< Richard is slow. Nancy is brave. Richard is happy. >. Richard is not the opposite of [ cowardly ]\n< Susan is pessimistic. Susan is slow. Thomas is right. >. Susan is not the opposite of [ wrong ]\n< Sarah is good. Kenneth is active. Sarah is healthy. >. Sarah is not the opposite of [ passive ]\n< Karen is incorrect. Karen is wrong. Charles is happy. >. Karen is not the opposite of [ sad ]\n< Charles is right. Laura is unpopular. Laura is pessimistic. >. Laura is not the opposite of [ wrong ]\n< Daniel is tall. Daniel is irrational. Sarah is generous. >. Daniel is not the opposite of [ stingy ]\n"}
{"task_id": "task40", "texts": "\n< Helen is tall. Helen is friendly. Thomas is popular. >. Helen is not the opposite of unpopular\n< Sarah is happy. Sarah is active. Daniel is interesting. >. Sarah is not the opposite of uninteresting\n< Laura is happy. Christopher is correct. Christopher is short. >. Christopher is not the opposite of [ unhappy ]\n< Brian is comfortable. Betty is short. Betty is disloyal. >. Betty is not the opposite of [ uncomfortable ]\n< Jennifer is dirty. Mark is reliable. Mark is safe. >. Mark is not the opposite of [ clean ]\n< Laura is optimistic. William is uncomfortable. Laura is friendly. >. Laura is not the opposite of [ comfortable ]\n< Margaret is safe. William is careful. Margaret is beautiful. >. Margaret is not the opposite of [ careless ]\n< Karen is careful. Karen is responsible. Richard is disloyal. >. Karen is not the opposite of [ loyal ]\n"}
{"task_id": "task40", "texts": "\n< Donna is cowardly. Thomas is clean. Donna is responsible. >. Donna is not the opposite of dirty\n< Deborah is beautiful. Deborah is unreliable. Ronald is good. >. Deborah is not the opposite of bad\n< Jeff is disloyal. Jeff is strong. Betty is rational. >. Jeff is not the opposite of [ irrational ]\n< Ronald is healthy. Ronald is knowledgeable. Linda is unfriendly. >. Ronald is not the opposite of [ friendly ]\n< Linda is irresponsible. David is generous. David is popular. >. David is not the opposite of [ responsible ]\n< Donna is successful. Christopher is stingy. Donna is dirty. >. Donna is not the opposite of [ generous ]\n< Donna is safe. Donna is good. Joseph is brave. >. Donna is not the opposite of [ cowardly ]\n< Ronald is dangerous. Carol is rational. Carol is sick. >. Carol is not the opposite of [ safe ]\n"}
{"task_id": "task40", "texts": "\n< Barbara is dishonest. Ronald is cowardly. Ronald is right. >. Ronald is not the opposite of honest\n< Sandra is stingy. David is unsuccessful. Sandra is strong. >. Sandra is not the opposite of successful\n< Sandra is poor. Sandra is clean. Edward is honest. >. Sandra is not the opposite of [ dishonest ]\n< Elizabeth is safe. Christopher is ugly. Elizabeth is knowledgeable. >. Elizabeth is not the opposite of [ beautiful ]\n< Brian is right. Brian is tall. Susan is comfortable. >. Brian is not the opposite of [ uncomfortable ]\n< Richard is weak. Richard is passive. Betty is good. >. Richard is not the opposite of [ bad ]\n< Laura is safe. Donald is beautiful. Donald is responsible. >. Donald is not the opposite of [ dangerous ]\n< Margaret is stingy. Margaret is healthy. Robert is knowledgeable. >. Margaret is not the opposite of [ ignorant ]\n"}
{"task_id": "task40", "texts": "\n< Susan is cowardly. Edward is rich. Edward is beautiful. >. Edward is not the opposite of brave\n< Linda is knowledgeable. Jeff is dangerous. Jeff is rich. >. Jeff is not the opposite of ignorant\n< Carol is healthy. John is incorrect. John is good. >. John is not the opposite of [ sick ]\n< Jason is lucky. Jason is tall. Sarah is pessimistic. >. Jason is not the opposite of [ optimistic ]\n< Sarah is strong. Steven is loyal. Sarah is boring. >. Sarah is not the opposite of [ disloyal ]\n< Michelle is loyal. David is ignorant. David is beautiful. >. David is not the opposite of [ disloyal ]\n< Brian is lucky. Karen is boring. Brian is tall. >. Brian is not the opposite of [ interesting ]\n< Susan is stingy. Susan is slow. Ronald is uncomfortable. >. Susan is not the opposite of [ comfortable ]\n"}
{"task_id": "task41", "texts": "\n< Bad George. Safe Barbara. Poor Barbara. >. Barbara is not the opposite of good\n< Clean Mary. Optimistic Christopher. Careless Christopher. >. Christopher is not the opposite of dirty\n< Unfriendly James. Poor James. Pessimistic Deborah. >. James is not the opposite of [ optimistic ]\n< Ignorant Jeff. Boring Sandra. Rich Jeff. >. Jeff is not the opposite of [ interesting ]\n< Interesting Linda. Correct Anthony. Optimistic Linda. >. Linda is not the opposite of [ incorrect ]\n< Unfriendly Deborah. Loyal Deborah. Incorrect Anthony. >. Deborah is not the opposite of [ correct ]\n< Comfortable Donald. Right Donald. Knowledgeable Maria. >. Donald is not the opposite of [ ignorant ]\n< Incorrect Jeff. Tall Jeff. Healthy Donna. >. Jeff is not the opposite of [ unhealthy ]\n"}
{"task_id": "task41", "texts": "\n< Uncomfortable Maria. Poor William. Unfriendly William. >. William is not the opposite of comfortable\n< Safe Helen. Beautiful Helen. Uncomfortable Edward. >. Helen is not the opposite of comfortable\n< Fast Anthony. Pessimistic Elizabeth. Right Anthony. >. Anthony is not the opposite of [ optimistic ]\n< Correct Brian. Stingy Ruth. Sick Ruth. >. Ruth is not the opposite of [ incorrect ]\n< Correct Sarah. Clean Robert. Unlucky Robert. >. Robert is not the opposite of [ incorrect ]\n< Unpopular Barbara. Slow Joseph. Unlucky Barbara. >. Barbara is not the opposite of [ fast ]\n< Careful Susan. Short Daniel. Careless Daniel. >. Daniel is not the opposite of [ careless ]\n< Irresponsible Ronald. Unpopular Ronald. Rich Deborah. >. Ronald is not the opposite of [ poor ]\n"}
{"task_id": "task41", "texts": "\n< Sad Helen. Friendly Robert. Passive Helen. >. Helen is not the opposite of unfriendly\n< Disloyal Charles. Ignorant Lisa. Beautiful Charles. >. Charles is not the opposite of knowledgeable\n< Sick Thomas. Uncomfortable Jennifer. Ugly Jennifer. >. Jennifer is not the opposite of [ healthy ]\n< Unlucky Kenneth. Irresponsible Dorothy. Strong Kenneth. >. Kenneth is not the opposite of [ responsible ]\n< Strong Betty. Short Ronald. Dangerous Ronald. >. Ronald is not the opposite of [ weak ]\n< Honest Robert. Boring Robert. Dishonest Sarah. >. Robert is not the opposite of [ honest ]\n< Responsible Daniel. Active Daniel. Slow Sandra. >. Daniel is not the opposite of [ fast ]\n< Unfriendly Nancy. Happy Michael. Pessimistic Nancy. >. Nancy is not the opposite of [ sad ]\n"}
{"task_id": "task41", "texts": "\n< Ignorant Lisa. Sad Mark. Irresponsible Lisa. >. Lisa is not the opposite of happy\n< Wrong Laura. Boring Christopher. Uncomfortable Christopher. >. Christopher is not the opposite of right\n< Rational Sarah. Rich Sarah. Incorrect Brian. >. Sarah is not the opposite of [ correct ]\n< Happy Jennifer. Careful Jennifer. Bad Thomas. >. Jennifer is not the opposite of [ good ]\n< Dishonest Maria. Bad Kevin. Successful Kevin. >. Kevin is not the opposite of [ honest ]\n< Pessimistic Ronald. Tall Ronald. Dangerous Deborah. >. Ronald is not the opposite of [ safe ]\n< Dishonest Charles. Happy Ruth. Weak Charles. >. Charles is not the opposite of [ unhappy ]\n< Sad Jeff. Careless Ruth. Unreliable Jeff. >. Jeff is not the opposite of [ careful ]\n"}
{"task_id": "task41", "texts": "\n< Safe Barbara. Sad Daniel. Unfriendly Barbara. >. Barbara is not the opposite of happy\n< Knowledgeable Michelle. Uncomfortable Kenneth. Happy Kenneth. >. Kenneth is not the opposite of ignorant\n< Sick Laura. Dirty Kevin. Loyal Laura. >. Laura is not the opposite of [ clean ]\n< Wrong Donald. Irresponsible Donald. Successful Laura. >. Donald is not the opposite of [ unsuccessful ]\n< Weak Lisa. Cowardly Michael. Rational Lisa. >. Lisa is not the opposite of [ brave ]\n< Healthy Mary. Generous Mary. Tall Edward. >. Mary is not the opposite of [ short ]\n< Irresponsible Karen. Unlucky Joseph. Dirty Joseph. >. Joseph is not the opposite of [ responsible ]\n< Dishonest John. Successful John. Healthy Barbara. >. John is not the opposite of [ sick ]\n"}
{"task_id": "task41", "texts": "\n< Dangerous Betty. Sick Betty. Irresponsible George. >. Betty is not the opposite of responsible\n< Disloyal Richard. Unfriendly Ruth. Knowledgeable Richard. >. Richard is not the opposite of friendly\n< Boring Helen. Careful Richard. Careless Richard. >. Richard is not the opposite of [ interesting ]\n< Passive Betty. Unreliable Betty. Dangerous Charles. >. Betty is not the opposite of [ safe ]\n< Slow Elizabeth. Weak Brian. Rational Brian. >. Brian is not the opposite of [ fast ]\n< Popular Dorothy. Pessimistic Dorothy. Successful Edward. >. Dorothy is not the opposite of [ unsuccessful ]\n< Passive Susan. Cowardly Jason. Clean Susan. >. Susan is not the opposite of [ brave ]\n< Unreliable Donald. Careless Donald. Correct Donna. >. Donald is not the opposite of [ incorrect ]\n"}
{"task_id": "task41", "texts": "\n< Comfortable Jason. Unfriendly Ruth. Wrong Jason. >. Jason is not the opposite of friendly\n< Weak Dorothy. Strong Joseph. Irresponsible Joseph. >. Joseph is not the opposite of strong\n< Slow Kimberly. Knowledgeable Kimberly. Careless Jason. >. Kimberly is not the opposite of [ careful ]\n< Beautiful Joseph. Unreliable Elizabeth. Lucky Joseph. >. Joseph is not the opposite of [ reliable ]\n< Boring Jennifer. Lucky Ronald. Friendly Ronald. >. Ronald is not the opposite of [ interesting ]\n< Optimistic Margaret. Responsible Mark. Ignorant Mark. >. Mark is not the opposite of [ pessimistic ]\n< Tall David. Unlucky David. Unsuccessful Lisa. >. David is not the opposite of [ successful ]\n< Ugly William. Honest Donna. Healthy Donna. >. Donna is not the opposite of [ beautiful ]\n"}
{"task_id": "task41", "texts": "\n< Wrong Kenneth. Boring Michelle. Slow Michelle. >. Michelle is not the opposite of right\n< Knowledgeable Anthony. Passive Karen. Reliable Karen. >. Karen is not the opposite of ignorant\n< Slow Richard. Brave Nancy. Happy Richard. >. Richard is not the opposite of [ cowardly ]\n< Pessimistic Susan. Slow Susan. Right Thomas. >. Susan is not the opposite of [ wrong ]\n< Good Sarah. Active Kenneth. Healthy Sarah. >. Sarah is not the opposite of [ passive ]\n< Incorrect Karen. Wrong Karen. Happy Charles. >. Karen is not the opposite of [ sad ]\n< Right Charles. Unpopular Laura. Pessimistic Laura. >. Laura is not the opposite of [ wrong ]\n< Tall Daniel. Irrational Daniel. Generous Sarah. >. Daniel is not the opposite of [ stingy ]\n"}
{"task_id": "task41", "texts": "\n< Tall Helen. Friendly Helen. Popular Thomas. >. Helen is not the opposite of unpopular\n< Happy Sarah. Active Sarah. Interesting Daniel. >. Sarah is not the opposite of uninteresting\n< Happy Laura. Correct Christopher. Short Christopher. >. Christopher is not the opposite of [ unhappy ]\n< Comfortable Brian. Short Betty. Disloyal Betty. >. Betty is not the opposite of [ uncomfortable ]\n< Dirty Jennifer. Reliable Mark. Safe Mark. >. Mark is not the opposite of [ clean ]\n< Optimistic Laura. Uncomfortable William. Friendly Laura. >. Laura is not the opposite of [ comfortable ]\n< Safe Margaret. Careful William. Beautiful Margaret. >. Margaret is not the opposite of [ careless ]\n< Careful Karen. Responsible Karen. Disloyal Richard. >. Karen is not the opposite of [ loyal ]\n"}
{"task_id": "task41", "texts": "\n< Cowardly Donna. Clean Thomas. Responsible Donna. >. Donna is not the opposite of dirty\n< Beautiful Deborah. Unreliable Deborah. Good Ronald. >. Deborah is not the opposite of bad\n< Disloyal Jeff. Strong Jeff. Rational Betty. >. Jeff is not the opposite of [ irrational ]\n< Healthy Ronald. Knowledgeable Ronald. Unfriendly Linda. >. Ronald is not the opposite of [ friendly ]\n< Irresponsible Linda. Generous David. Popular David. >. David is not the opposite of [ responsible ]\n< Successful Donna. Stingy Christopher. Dirty Donna. >. Donna is not the opposite of [ generous ]\n< Safe Donna. Good Donna. Brave Joseph. >. Donna is not the opposite of [ cowardly ]\n< Dangerous Ronald. Rational Carol. Sick Carol. >. Carol is not the opposite of [ safe ]\n"}
{"task_id": "task41", "texts": "\n< Dishonest Barbara. Cowardly Ronald. Right Ronald. >. Ronald is not the opposite of honest\n< Stingy Sandra. Unsuccessful David. Strong Sandra. >. Sandra is not the opposite of successful\n< Poor Sandra. Clean Sandra. Honest Edward. >. Sandra is not the opposite of [ dishonest ]\n< Safe Elizabeth. Ugly Christopher. Knowledgeable Elizabeth. >. Elizabeth is not the opposite of [ beautiful ]\n< Right Brian. Tall Brian. Comfortable Susan. >. Brian is not the opposite of [ uncomfortable ]\n< Weak Richard. Passive Richard. Good Betty. >. Richard is not the opposite of [ bad ]\n< Safe Laura. Beautiful Donald. Responsible Donald. >. Donald is not the opposite of [ dangerous ]\n< Stingy Margaret. Healthy Margaret. Knowledgeable Robert. >. Margaret is not the opposite of [ ignorant ]\n"}
{"task_id": "task41", "texts": "\n< Cowardly Susan. Rich Edward. Beautiful Edward. >. Edward is not the opposite of brave\n< Knowledgeable Linda. Dangerous Jeff. Rich Jeff. >. Jeff is not the opposite of ignorant\n< Healthy Carol. Incorrect John. Good John. >. John is not the opposite of [ sick ]\n< Lucky Jason. Tall Jason. Pessimistic Sarah. >. Jason is not the opposite of [ optimistic ]\n< Strong Sarah. Loyal Steven. Boring Sarah. >. Sarah is not the opposite of [ disloyal ]\n< Loyal Michelle. Ignorant David. Beautiful David. >. David is not the opposite of [ disloyal ]\n< Lucky Brian. Boring Karen. Tall Brian. >. Brian is not the opposite of [ interesting ]\n< Stingy Susan. Slow Susan. Uncomfortable Ronald. >. Susan is not the opposite of [ comfortable ]\n"}
{"task_id": "task42", "texts": "\n< Anthony is popular. Kimberly is correct. Sandra is unfriendly. >. Anthony is the opposite of unpopular\n< Daniel is weak. Deborah is irresponsible. Edward is short. >. Deborah is the opposite of responsible\n< Nancy is sick. Barbara is unpopular. Margaret is irresponsible. >. Barbara is the opposite of [ popular ]\n< William is popular. Daniel is correct. Joseph is weak. >. Daniel is the opposite of [ incorrect ]\n< Kenneth is dirty. Charles is active. Susan is knowledgeable. >. Kenneth is the opposite of [ clean ]\n< Michael is right. Daniel is friendly. Ronald is safe. >. Daniel is the opposite of [ unfriendly ]\n< Donald is irresponsible. Christopher is successful. Kevin is bad. >. Kevin is the opposite of [ good ]\n< Ruth is irrational. Richard is reliable. Jennifer is pessimistic. >. Jennifer is the opposite of [ optimistic ]\n"}
{"task_id": "task42", "texts": "\n< Kenneth is irrational. Lisa is strong. Laura is irresponsible. >. Laura is the opposite of responsible\n< John is dirty. Lisa is unpopular. Charles is cowardly. >. John is the opposite of clean\n< Lisa is successful. Elizabeth is cowardly. Michelle is beautiful. >. Michelle is the opposite of [ ugly ]\n< Nancy is passive. Karen is rational. Donna is optimistic. >. Karen is the opposite of [ irrational ]\n< Mary is comfortable. Michael is uncomfortable. Karen is ugly. >. Mary is the opposite of [ uncomfortable ]\n< Thomas is correct. Patricia is strong. Kenneth is irresponsible. >. Kenneth is the opposite of [ responsible ]\n< Jeff is comfortable. Ronald is unsuccessful. Jason is rich. >. Ronald is the opposite of [ successful ]\n< Kenneth is good. Daniel is knowledgeable. Richard is dishonest. >. Kenneth is the opposite of [ bad ]\n"}
{"task_id": "task42", "texts": "\n< Anthony is irresponsible. Margaret is knowledgeable. James is stingy. >. James is the opposite of generous\n< Christopher is active. Kimberly is pessimistic. Laura is ignorant. >. Kimberly is the opposite of optimistic\n< Richard is irrational. Ruth is interesting. Betty is safe. >. Ruth is the opposite of [ boring ]\n< Lisa is loyal. Ruth is irrational. Charles is fast. >. Charles is the opposite of [ slow ]\n< Michelle is safe. Kevin is dishonest. Jason is disloyal. >. Michelle is the opposite of [ dangerous ]\n< Laura is right. Kimberly is optimistic. Margaret is poor. >. Margaret is the opposite of [ rich ]\n< Sandra is ugly. Donald is wrong. Sarah is ignorant. >. Donald is the opposite of [ right ]\n< Brian is safe. Ruth is incorrect. Ronald is weak. >. Brian is the opposite of [ dangerous ]\n"}
{"task_id": "task42", "texts": "\n< Jeff is healthy. Barbara is active. Karen is slow. >. Jeff is the opposite of unhealthy\n< Sandra is boring. Kimberly is popular. Michelle is loyal. >. Michelle is the opposite of disloyal\n< Paul is comfortable. Ruth is careless. Kevin is brave. >. Ruth is the opposite of [ careful ]\n< Maria is unlucky. Mary is irrational. Elizabeth is dangerous. >. Elizabeth is the opposite of [ safe ]\n< Kimberly is irresponsible. George is rich. Linda is reliable. >. Kimberly is the opposite of [ responsible ]\n< Robert is pessimistic. Linda is strong. Sharon is healthy. >. Linda is the opposite of [ weak ]\n< Ronald is dirty. Dorothy is irresponsible. Mark is bad. >. Mark is the opposite of [ good ]\n< Steven is reliable. Dorothy is correct. Jeff is comfortable. >. Jeff is the opposite of [ uncomfortable ]\n"}
{"task_id": "task42", "texts": "\n< Michael is unlucky. Dorothy is correct. William is safe. >. Dorothy is the opposite of incorrect\n< Charles is dishonest. Maria is unreliable. Nancy is slow. >. Maria is the opposite of reliable\n< Helen is healthy. Lisa is happy. John is knowledgeable. >. John is the opposite of [ ignorant ]\n< Edward is safe. Jennifer is unsuccessful. Elizabeth is careless. >. Edward is the opposite of [ dangerous ]\n< Jason is friendly. Mark is dirty. Donald is poor. >. Donald is the opposite of [ rich ]\n< Richard is incorrect. Paul is unreliable. Mark is unpopular. >. Mark is the opposite of [ popular ]\n< Linda is incorrect. Kenneth is slow. Elizabeth is interesting. >. Linda is the opposite of [ correct ]\n< Maria is interesting. Mark is strong. Charles is uncomfortable. >. Charles is the opposite of [ comfortable ]\n"}
{"task_id": "task42", "texts": "\n< Donna is active. Jeff is interesting. Sarah is dishonest. >. Sarah is the opposite of honest\n< Robert is generous. Michael is reliable. Joseph is fast. >. Joseph is the opposite of slow\n< Elizabeth is careful. Patricia is comfortable. Edward is unlucky. >. Edward is the opposite of [ lucky ]\n< Anthony is wrong. Mark is responsible. Margaret is fast. >. Margaret is the opposite of [ slow ]\n< Kimberly is optimistic. Elizabeth is responsible. Mary is ignorant. >. Kimberly is the opposite of [ pessimistic ]\n< Kimberly is rational. David is unfriendly. Michael is unlucky. >. David is the opposite of [ friendly ]\n< Karen is brave. Maria is incorrect. Margaret is dirty. >. Karen is the opposite of [ cowardly ]\n< Betty is ugly. Kimberly is irresponsible. Edward is incorrect. >. Kimberly is the opposite of [ responsible ]\n"}
{"task_id": "task42", "texts": "\n< Kevin is fast. Richard is ignorant. Sandra is bad. >. Kevin is the opposite of slow\n< Michael is comfortable. Brian is fast. Anthony is popular. >. Brian is the opposite of slow\n< Mark is brave. Margaret is rich. Kevin is safe. >. Kevin is the opposite of [ dangerous ]\n< Sandra is loyal. Margaret is optimistic. Donald is successful. >. Donald is the opposite of [ unsuccessful ]\n< Edward is unreliable. Susan is unsuccessful. Karen is unfriendly. >. Susan is the opposite of [ successful ]\n< Margaret is friendly. Carol is ignorant. Kevin is healthy. >. Carol is the opposite of [ knowledgeable ]\n< Karen is honest. Helen is rational. Kenneth is optimistic. >. Karen is the opposite of [ dishonest ]\n< Robert is irresponsible. Maria is poor. Jason is unlucky. >. Robert is the opposite of [ responsible ]\n"}
{"task_id": "task42", "texts": "\n< Sharon is tall. Kimberly is good. Michelle is reliable. >. Michelle is the opposite of unreliable\n< Sarah is dangerous. Ronald is beautiful. Betty is friendly. >. Sarah is the opposite of safe\n< Linda is wrong. Daniel is irresponsible. Joseph is boring. >. Daniel is the opposite of [ responsible ]\n< Maria is optimistic. Mark is ugly. Christopher is passive. >. Maria is the opposite of [ pessimistic ]\n< Mary is boring. George is popular. Laura is poor. >. Laura is the opposite of [ rich ]\n< Karen is honest. Steven is irrational. Michael is friendly. >. Michael is the opposite of [ unfriendly ]\n< Mark is poor. Kenneth is beautiful. Linda is unreliable. >. Mark is the opposite of [ rich ]\n< Ronald is strong. David is sick. Mark is weak. >. David is the opposite of [ healthy ]\n"}
{"task_id": "task42", "texts": "\n< Joseph is ugly. Charles is brave. Sarah is unlucky. >. Joseph is the opposite of beautiful\n< Anthony is loyal. Maria is cowardly. Ronald is right. >. Anthony is the opposite of disloyal\n< George is comfortable. Sandra is dangerous. Brian is responsible. >. Sandra is the opposite of [ safe ]\n< William is good. Sandra is careful. Sarah is rich. >. Sandra is the opposite of [ careless ]\n< Dorothy is active. Christopher is unpopular. Michelle is loyal. >. Christopher is the opposite of [ popular ]\n< Ronald is weak. Thomas is passive. Barbara is good. >. Barbara is the opposite of [ bad ]\n< Betty is active. Elizabeth is irresponsible. Donald is boring. >. Donald is the opposite of [ interesting ]\n< Nancy is uncomfortable. Brian is dirty. Margaret is dishonest. >. Margaret is the opposite of [ honest ]\n"}
{"task_id": "task42", "texts": "\n< Thomas is pessimistic. Betty is rational. Helen is slow. >. Helen is the opposite of fast\n< Brian is clean. Barbara is rich. Michelle is active. >. Brian is the opposite of dirty\n< Donna is responsible. Jeff is rich. Michelle is reliable. >. Michelle is the opposite of [ unreliable ]\n< Dorothy is unfriendly. Laura is lucky. Brian is happy. >. Brian is the opposite of [ sad ]\n< David is ugly. Jennifer is loyal. Sandra is rational. >. Sandra is the opposite of [ irrational ]\n< William is rich. Dorothy is slow. Betty is pessimistic. >. William is the opposite of [ poor ]\n< David is weak. Sandra is unsuccessful. John is careless. >. Sandra is the opposite of [ successful ]\n< George is pessimistic. Jason is sad. Michael is unsuccessful. >. Jason is the opposite of [ happy ]\n"}
{"task_id": "task42", "texts": "\n< Jennifer is sick. Ruth is fast. John is irrational. >. Jennifer is the opposite of healthy\n< Sharon is weak. David is boring. Brian is brave. >. Brian is the opposite of cowardly\n< Charles is beautiful. Betty is rich. Donald is interesting. >. Donald is the opposite of [ uninteresting ]\n< Steven is honest. Christopher is irresponsible. Paul is rational. >. Paul is the opposite of [ irrational ]\n< Edward is poor. Betty is short. George is lucky. >. Edward is the opposite of [ rich ]\n< Elizabeth is weak. Charles is unreliable. Nancy is lucky. >. Charles is the opposite of [ reliable ]\n< Laura is safe. William is incorrect. Richard is reliable. >. Laura is the opposite of [ dangerous ]\n< Christopher is popular. Donald is bad. Helen is boring. >. Donald is the opposite of [ good ]\n"}
{"task_id": "task42", "texts": "\n< Michael is ignorant. Jeff is fast. Mary is reliable. >. Michael is the opposite of knowledgeable\n< Mary is tall. Mark is sad. Betty is unsuccessful. >. Mary is the opposite of short\n< Sarah is passive. Steven is poor. Elizabeth is beautiful. >. Elizabeth is the opposite of [ ugly ]\n< Ruth is passive. John is wrong. Brian is unpopular. >. John is the opposite of [ right ]\n< Joseph is rich. Anthony is brave. Daniel is unpopular. >. Daniel is the opposite of [ popular ]\n< Mary is rich. Laura is healthy. Lisa is strong. >. Mary is the opposite of [ poor ]\n< Anthony is active. Kenneth is sick. Sandra is unpopular. >. Kenneth is the opposite of [ healthy ]\n< John is responsible. Donald is rich. Joseph is correct. >. Donald is the opposite of [ poor ]\n"}
{"task_id": "task43", "texts": "\n< Popular Anthony. Correct Kimberly. Unfriendly Sandra. >. Anthony is the opposite of unpopular\n< Weak Daniel. Irresponsible Deborah. Short Edward. >. Deborah is the opposite of responsible\n< Sick Nancy. Unpopular Barbara. Irresponsible Margaret. >. Barbara is the opposite of [ popular ]\n< Popular William. Correct Daniel. Weak Joseph. >. Daniel is the opposite of [ incorrect ]\n< Dirty Kenneth. Active Charles. Knowledgeable Susan. >. Kenneth is the opposite of [ clean ]\n< Right Michael. Friendly Daniel. Safe Ronald. >. Daniel is the opposite of [ unfriendly ]\n< Irresponsible Donald. Successful Christopher. Bad Kevin. >. Kevin is the opposite of [ good ]\n< Irrational Ruth. Reliable Richard. Pessimistic Jennifer. >. Jennifer is the opposite of [ optimistic ]\n"}
{"task_id": "task43", "texts": "\n< Irrational Kenneth. Strong Lisa. Irresponsible Laura. >. Laura is the opposite of responsible\n< Dirty John. Unpopular Lisa. Cowardly Charles. >. John is the opposite of clean\n< Successful Lisa. Cowardly Elizabeth. Beautiful Michelle. >. Michelle is the opposite of [ ugly ]\n< Passive Nancy. Rational Karen. Optimistic Donna. >. Karen is the opposite of [ irrational ]\n< Comfortable Mary. Uncomfortable Michael. Ugly Karen. >. Mary is the opposite of [ uncomfortable ]\n< Correct Thomas. Strong Patricia. Irresponsible Kenneth. >. Kenneth is the opposite of [ responsible ]\n< Comfortable Jeff. Unsuccessful Ronald. Rich Jason. >. Ronald is the opposite of [ successful ]\n< Good Kenneth. Knowledgeable Daniel. Dishonest Richard. >. Kenneth is the opposite of [ bad ]\n"}
{"task_id": "task43", "texts": "\n< Irresponsible Anthony. Knowledgeable Margaret. Stingy James. >. James is the opposite of generous\n< Active Christopher. Pessimistic Kimberly. Ignorant Laura. >. Kimberly is the opposite of optimistic\n< Irrational Richard. Interesting Ruth. Safe Betty. >. Ruth is the opposite of [ boring ]\n< Loyal Lisa. Irrational Ruth. Fast Charles. >. Charles is the opposite of [ slow ]\n< Safe Michelle. Dishonest Kevin. Disloyal Jason. >. Michelle is the opposite of [ dangerous ]\n< Right Laura. Optimistic Kimberly. Poor Margaret. >. Margaret is the opposite of [ rich ]\n< Ugly Sandra. Wrong Donald. Ignorant Sarah. >. Donald is the opposite of [ right ]\n< Safe Brian. Incorrect Ruth. Weak Ronald. >. Brian is the opposite of [ dangerous ]\n"}
{"task_id": "task43", "texts": "\n< Healthy Jeff. Active Barbara. Slow Karen. >. Jeff is the opposite of unhealthy\n< Boring Sandra. Popular Kimberly. Loyal Michelle. >. Michelle is the opposite of disloyal\n< Comfortable Paul. Careless Ruth. Brave Kevin. >. Ruth is the opposite of [ careful ]\n< Unlucky Maria. Irrational Mary. Dangerous Elizabeth. >. Elizabeth is the opposite of [ safe ]\n< Irresponsible Kimberly. Rich George. Reliable Linda. >. Kimberly is the opposite of [ responsible ]\n< Pessimistic Robert. Strong Linda. Healthy Sharon. >. Linda is the opposite of [ weak ]\n< Dirty Ronald. Irresponsible Dorothy. Bad Mark. >. Mark is the opposite of [ good ]\n< Reliable Steven. Correct Dorothy. Comfortable Jeff. >. Jeff is the opposite of [ uncomfortable ]\n"}
{"task_id": "task43", "texts": "\n< Unlucky Michael. Correct Dorothy. Safe William. >. Dorothy is the opposite of incorrect\n< Dishonest Charles. Unreliable Maria. Slow Nancy. >. Maria is the opposite of reliable\n< Healthy Helen. Happy Lisa. Knowledgeable John. >. John is the opposite of [ ignorant ]\n< Safe Edward. Unsuccessful Jennifer. Careless Elizabeth. >. Edward is the opposite of [ dangerous ]\n< Friendly Jason. Dirty Mark. Poor Donald. >. Donald is the opposite of [ rich ]\n< Incorrect Richard. Unreliable Paul. Unpopular Mark. >. Mark is the opposite of [ popular ]\n< Incorrect Linda. Slow Kenneth. Interesting Elizabeth. >. Linda is the opposite of [ correct ]\n< Interesting Maria. Strong Mark. Uncomfortable Charles. >. Charles is the opposite of [ comfortable ]\n"}
{"task_id": "task43", "texts": "\n< Active Donna. Interesting Jeff. Dishonest Sarah. >. Sarah is the opposite of honest\n< Generous Robert. Reliable Michael. Fast Joseph. >. Joseph is the opposite of slow\n< Careful Elizabeth. Comfortable Patricia. Unlucky Edward. >. Edward is the opposite of [ lucky ]\n< Wrong Anthony. Responsible Mark. Fast Margaret. >. Margaret is the opposite of [ slow ]\n< Optimistic Kimberly. Responsible Elizabeth. Ignorant Mary. >. Kimberly is the opposite of [ pessimistic ]\n< Rational Kimberly. Unfriendly David. Unlucky Michael. >. David is the opposite of [ friendly ]\n< Brave Karen. Incorrect Maria. Dirty Margaret. >. Karen is the opposite of [ cowardly ]\n< Ugly Betty. Irresponsible Kimberly. Incorrect Edward. >. Kimberly is the opposite of [ responsible ]\n"}
{"task_id": "task43", "texts": "\n< Fast Kevin. Ignorant Richard. Bad Sandra. >. Kevin is the opposite of slow\n< Comfortable Michael. Fast Brian. Popular Anthony. >. Brian is the opposite of slow\n< Brave Mark. Rich Margaret. Safe Kevin. >. Kevin is the opposite of [ dangerous ]\n< Loyal Sandra. Optimistic Margaret. Successful Donald. >. Donald is the opposite of [ unsuccessful ]\n< Unreliable Edward. Unsuccessful Susan. Unfriendly Karen. >. Susan is the opposite of [ successful ]\n< Friendly Margaret. Ignorant Carol. Healthy Kevin. >. Carol is the opposite of [ knowledgeable ]\n< Honest Karen. Rational Helen. Optimistic Kenneth. >. Karen is the opposite of [ dishonest ]\n< Irresponsible Robert. Poor Maria. Unlucky Jason. >. Robert is the opposite of [ responsible ]\n"}
{"task_id": "task43", "texts": "\n< Tall Sharon. Good Kimberly. Reliable Michelle. >. Michelle is the opposite of unreliable\n< Dangerous Sarah. Beautiful Ronald. Friendly Betty. >. Sarah is the opposite of safe\n< Wrong Linda. Irresponsible Daniel. Boring Joseph. >. Daniel is the opposite of [ responsible ]\n< Optimistic Maria. Ugly Mark. Passive Christopher. >. Maria is the opposite of [ pessimistic ]\n< Boring Mary. Popular George. Poor Laura. >. Laura is the opposite of [ rich ]\n< Honest Karen. Irrational Steven. Friendly Michael. >. Michael is the opposite of [ unfriendly ]\n< Poor Mark. Beautiful Kenneth. Unreliable Linda. >. Mark is the opposite of [ rich ]\n< Strong Ronald. Sick David. Weak Mark. >. David is the opposite of [ healthy ]\n"}
{"task_id": "task43", "texts": "\n< Ugly Joseph. Brave Charles. Unlucky Sarah. >. Joseph is the opposite of beautiful\n< Loyal Anthony. Cowardly Maria. Right Ronald. >. Anthony is the opposite of disloyal\n< Comfortable George. Dangerous Sandra. Responsible Brian. >. Sandra is the opposite of [ safe ]\n< Good William. Careful Sandra. Rich Sarah. >. Sandra is the opposite of [ careless ]\n< Active Dorothy. Unpopular Christopher. Loyal Michelle. >. Christopher is the opposite of [ popular ]\n< Weak Ronald. Passive Thomas. Good Barbara. >. Barbara is the opposite of [ bad ]\n< Active Betty. Irresponsible Elizabeth. Boring Donald. >. Donald is the opposite of [ interesting ]\n< Uncomfortable Nancy. Dirty Brian. Dishonest Margaret. >. Margaret is the opposite of [ honest ]\n"}
{"task_id": "task43", "texts": "\n< Pessimistic Thomas. Rational Betty. Slow Helen. >. Helen is the opposite of fast\n< Clean Brian. Rich Barbara. Active Michelle. >. Brian is the opposite of dirty\n< Responsible Donna. Rich Jeff. Reliable Michelle. >. Michelle is the opposite of [ unreliable ]\n< Unfriendly Dorothy. Lucky Laura. Happy Brian. >. Brian is the opposite of [ sad ]\n< Ugly David. Loyal Jennifer. Rational Sandra. >. Sandra is the opposite of [ irrational ]\n< Rich William. Slow Dorothy. Pessimistic Betty. >. William is the opposite of [ poor ]\n< Weak David. Unsuccessful Sandra. Careless John. >. Sandra is the opposite of [ successful ]\n< Pessimistic George. Sad Jason. Unsuccessful Michael. >. Jason is the opposite of [ happy ]\n"}
{"task_id": "task43", "texts": "\n< Sick Jennifer. Fast Ruth. Irrational John. >. Jennifer is the opposite of healthy\n< Weak Sharon. Boring David. Brave Brian. >. Brian is the opposite of cowardly\n< Beautiful Charles. Rich Betty. Interesting Donald. >. Donald is the opposite of [ uninteresting ]\n< Honest Steven. Irresponsible Christopher. Rational Paul. >. Paul is the opposite of [ irrational ]\n< Poor Edward. Short Betty. Lucky George. >. Edward is the opposite of [ rich ]\n< Weak Elizabeth. Unreliable Charles. Lucky Nancy. >. Charles is the opposite of [ reliable ]\n< Safe Laura. Incorrect William. Reliable Richard. >. Laura is the opposite of [ dangerous ]\n< Popular Christopher. Bad Donald. Boring Helen. >. Donald is the opposite of [ good ]\n"}
{"task_id": "task43", "texts": "\n< Ignorant Michael. Fast Jeff. Reliable Mary. >. Michael is the opposite of knowledgeable\n< Tall Mary. Sad Mark. Unsuccessful Betty. >. Mary is the opposite of short\n< Passive Sarah. Poor Steven. Beautiful Elizabeth. >. Elizabeth is the opposite of [ ugly ]\n< Passive Ruth. Wrong John. Unpopular Brian. >. John is the opposite of [ right ]\n< Rich Joseph. Brave Anthony. Unpopular Daniel. >. Daniel is the opposite of [ popular ]\n< Rich Mary. Healthy Laura. Strong Lisa. >. Mary is the opposite of [ poor ]\n< Active Anthony. Sick Kenneth. Unpopular Sandra. >. Kenneth is the opposite of [ healthy ]\n< Responsible John. Rich Donald. Correct Joseph. >. Donald is the opposite of [ poor ]\n"}
{"task_id": "task44", "texts": "\n< Mark is friendly. Kevin is interesting. Kenneth is interesting. >. Who is not the opposite of uninteresting? Mark\n< Kevin is bad. Paul is careless. Susan is careless. >. Who is not the opposite of careful? Kevin\n< Edward is unreliable. Robert is irrational. Donald is unreliable. >. Who is not the opposite of reliable? [ Robert ]\n< Helen is happy. Donald is fast. Christopher is happy. >. Who is not the opposite of sad? [ Donald ]\n< Susan is healthy. Sarah is slow. Paul is healthy. >. Who is not the opposite of unhealthy? [ Sarah ]\n< Edward is disloyal. Mary is disloyal. Kevin is slow. >. Who is not the opposite of loyal? [ Kevin ]\n< Barbara is brave. Carol is brave. Kimberly is uncomfortable. >. Who is not the opposite of cowardly? [ Kimberly ]\n< William is popular. Ruth is popular. Kimberly is slow. >. Who is not the opposite of unpopular? [ Kimberly ]\n"}
{"task_id": "task44", "texts": "\n< Maria is passive. Nancy is passive. Barbara is dirty. >. Who is not the opposite of active? Barbara\n< Thomas is unfriendly. Margaret is unsuccessful. Joseph is unsuccessful. >. Who is not the opposite of successful? Thomas\n< Christopher is healthy. Kimberly is unreliable. Laura is healthy. >. Who is not the opposite of unhealthy? [ Kimberly ]\n< Christopher is active. Kimberly is careless. Kevin is careless. >. Who is not the opposite of careful? [ Christopher ]\n< Michael is wrong. Charles is interesting. Lisa is interesting. >. Who is not the opposite of boring? [ Michael ]\n< Robert is loyal. Mark is loyal. Helen is generous. >. Who is not the opposite of disloyal? [ Helen ]\n< Jason is clean. Michelle is optimistic. Kevin is clean. >. Who is not the opposite of dirty? [ Michelle ]\n< Brian is uncomfortable. Betty is uncomfortable. Ronald is dishonest. >. Who is not the opposite of comfortable? [ Ronald ]\n"}
{"task_id": "task44", "texts": "\n< Joseph is happy. George is happy. Michelle is healthy. >. Who is not the opposite of sad? Michelle\n< Lisa is honest. Jeff is dirty. Deborah is honest. >. Who is not the opposite of dishonest? Jeff\n< Betty is stingy. Christopher is stingy. Kevin is correct. >. Who is not the opposite of generous? [ Kevin ]\n< Steven is interesting. Patricia is poor. Karen is interesting. >. Who is not the opposite of boring? [ Patricia ]\n< Daniel is right. William is boring. Richard is boring. >. Who is not the opposite of interesting? [ Daniel ]\n< Richard is uncomfortable. Karen is knowledgeable. Elizabeth is uncomfortable. >. Who is not the opposite of comfortable? [ Karen ]\n< Brian is irresponsible. Betty is brave. Donna is brave. >. Who is not the opposite of cowardly? [ Brian ]\n< Michelle is generous. Charles is happy. Lisa is happy. >. Who is not the opposite of unhappy? [ Michelle ]\n"}
{"task_id": "task44", "texts": "\n< Sarah is bad. Susan is bad. Sharon is short. >. Who is not the opposite of good? Sharon\n< Mark is successful. Steven is dirty. Donald is successful. >. Who is not the opposite of unsuccessful? Steven\n< Dorothy is optimistic. Maria is sick. Linda is sick. >. Who is not the opposite of healthy? [ Dorothy ]\n< Edward is careful. Jennifer is optimistic. Elizabeth is optimistic. >. Who is not the opposite of pessimistic? [ Edward ]\n< Lisa is irresponsible. Elizabeth is responsible. Donald is responsible. >. Who is not the opposite of irresponsible? [ Lisa ]\n< Linda is clean. Sharon is clean. William is friendly. >. Who is not the opposite of dirty? [ William ]\n< Paul is bad. Donna is weak. Richard is bad. >. Who is not the opposite of good? [ Donna ]\n< Kenneth is unreliable. Christopher is dishonest. George is dishonest. >. Who is not the opposite of honest? [ Kenneth ]\n"}
{"task_id": "task44", "texts": "\n< Ronald is cowardly. Patricia is optimistic. Mary is cowardly. >. Who is not the opposite of brave? Patricia\n< Jason is poor. Michael is slow. Daniel is slow. >. Who is not the opposite of fast? Jason\n< Jason is optimistic. Susan is optimistic. Karen is reliable. >. Who is not the opposite of pessimistic? [ Karen ]\n< Michael is boring. Ronald is strong. Susan is strong. >. Who is not the opposite of weak? [ Michael ]\n< Jason is knowledgeable. Dorothy is knowledgeable. Christopher is right. >. Who is not the opposite of ignorant? [ Christopher ]\n< Daniel is unlucky. Barbara is ugly. Lisa is unlucky. >. Who is not the opposite of lucky? [ Barbara ]\n< Jason is cowardly. Michelle is sad. Daniel is sad. >. Who is not the opposite of happy? [ Jason ]\n< Maria is unfriendly. John is lucky. Sarah is lucky. >. Who is not the opposite of unlucky? [ Maria ]\n"}
{"task_id": "task44", "texts": "\n< Anthony is loyal. Michael is loyal. Brian is cowardly. >. Who is not the opposite of disloyal? Brian\n< Sarah is responsible. Karen is happy. Maria is happy. >. Who is not the opposite of sad? Sarah\n< Michelle is ugly. Linda is irresponsible. Kimberly is irresponsible. >. Who is not the opposite of responsible? [ Michelle ]\n< Jason is friendly. Kimberly is incorrect. Michelle is friendly. >. Who is not the opposite of unfriendly? [ Kimberly ]\n< Edward is weak. Susan is fast. Elizabeth is weak. >. Who is not the opposite of strong? [ Susan ]\n< Sharon is unfriendly. Carol is unfriendly. Helen is irrational. >. Who is not the opposite of friendly? [ Helen ]\n< Richard is clean. Joseph is healthy. Margaret is clean. >. Who is not the opposite of dirty? [ Joseph ]\n< Thomas is friendly. Sharon is friendly. John is fast. >. Who is not the opposite of unfriendly? [ John ]\n"}
{"task_id": "task44", "texts": "\n< Joseph is dangerous. George is healthy. Anthony is dangerous. >. Who is not the opposite of safe? George\n< Anthony is friendly. Sarah is friendly. Kevin is successful. >. Who is not the opposite of unfriendly? Kevin\n< Daniel is ugly. Anthony is healthy. James is healthy. >. Who is not the opposite of sick? [ Daniel ]\n< Kenneth is rational. Daniel is tall. Laura is tall. >. Who is not the opposite of short? [ Kenneth ]\n< Barbara is rational. Nancy is right. Christopher is rational. >. Who is not the opposite of irrational? [ Nancy ]\n< Dorothy is careful. Nancy is careful. Lisa is brave. >. Who is not the opposite of careless? [ Lisa ]\n< Mark is poor. Mary is boring. Sarah is boring. >. Who is not the opposite of interesting? [ Mark ]\n< Margaret is careful. Sandra is happy. Lisa is happy. >. Who is not the opposite of unhappy? [ Margaret ]\n"}
{"task_id": "task44", "texts": "\n< Maria is reliable. Mark is bad. Jennifer is bad. >. Who is not the opposite of good? Maria\n< Ruth is poor. Donna is poor. Karen is active. >. Who is not the opposite of rich? Karen\n< Deborah is boring. Jason is cowardly. Kenneth is boring. >. Who is not the opposite of interesting? [ Jason ]\n< Linda is short. Mary is short. Charles is unsuccessful. >. Who is not the opposite of tall? [ Charles ]\n< David is wrong. John is incorrect. Thomas is incorrect. >. Who is not the opposite of correct? [ David ]\n< Patricia is good. William is beautiful. Barbara is good. >. Who is not the opposite of bad? [ William ]\n< Jason is weak. Donna is generous. Mary is weak. >. Who is not the opposite of strong? [ Donna ]\n< Donald is sad. Helen is sad. Donna is clean. >. Who is not the opposite of happy? [ Donna ]\n"}
{"task_id": "task44", "texts": "\n< Karen is ugly. Kimberly is ugly. Michelle is sick. >. Who is not the opposite of beautiful? Michelle\n< Jason is brave. George is sad. Carol is sad. >. Who is not the opposite of happy? Jason\n< Betty is optimistic. Edward is ignorant. John is optimistic. >. Who is not the opposite of pessimistic? [ Edward ]\n< Maria is optimistic. Paul is rich. Sarah is optimistic. >. Who is not the opposite of pessimistic? [ Paul ]\n< Christopher is unreliable. John is pessimistic. Joseph is unreliable. >. Who is not the opposite of reliable? [ John ]\n< Kimberly is unpopular. Thomas is unpopular. Jeff is fast. >. Who is not the opposite of popular? [ Jeff ]\n< Helen is happy. Ruth is happy. Edward is irresponsible. >. Who is not the opposite of unhappy? [ Edward ]\n< Kimberly is dishonest. Kenneth is right. Carol is right. >. Who is not the opposite of wrong? [ Kimberly ]\n"}
{"task_id": "task44", "texts": "\n< Donna is loyal. Jennifer is loyal. William is optimistic. >. Who is not the opposite of disloyal? William\n< George is dangerous. Kenneth is good. Edward is good. >. Who is not the opposite of bad? George\n< Maria is fast. Brian is wrong. Laura is wrong. >. Who is not the opposite of right? [ Maria ]\n< Charles is generous. Thomas is happy. Richard is happy. >. Who is not the opposite of sad? [ Charles ]\n< Michelle is dishonest. Elizabeth is dishonest. Lisa is reliable. >. Who is not the opposite of honest? [ Lisa ]\n< Ruth is interesting. George is generous. Margaret is interesting. >. Who is not the opposite of boring? [ George ]\n< Carol is bad. Christopher is lucky. Kenneth is lucky. >. Who is not the opposite of unlucky? [ Carol ]\n< Sandra is unpopular. Carol is loyal. Kimberly is unpopular. >. Who is not the opposite of popular? [ Carol ]\n"}
{"task_id": "task44", "texts": "\n< Helen is ugly. Donna is bad. Maria is bad. >. Who is not the opposite of good? Helen\n< Daniel is passive. Edward is lucky. Paul is passive. >. Who is not the opposite of active? Edward\n< Donald is wrong. Ruth is happy. Betty is wrong. >. Who is not the opposite of right? [ Ruth ]\n< Brian is passive. Nancy is passive. Barbara is happy. >. Who is not the opposite of active? [ Barbara ]\n< Susan is weak. Patricia is weak. Brian is careful. >. Who is not the opposite of strong? [ Brian ]\n< Karen is uncomfortable. Donna is knowledgeable. Jennifer is uncomfortable. >. Who is not the opposite of comfortable? [ Donna ]\n< Margaret is optimistic. Donald is brave. Susan is optimistic. >. Who is not the opposite of pessimistic? [ Donald ]\n< Jason is friendly. Robert is unsuccessful. Thomas is unsuccessful. >. Who is not the opposite of successful? [ Jason ]\n"}
{"task_id": "task44", "texts": "\n< George is passive. Laura is incorrect. Kevin is incorrect. >. Who is not the opposite of correct? George\n< Linda is honest. Donald is honest. Laura is rational. >. Who is not the opposite of dishonest? Laura\n< Jason is careless. Steven is bad. Dorothy is bad. >. Who is not the opposite of good? [ Jason ]\n< Kimberly is healthy. Edward is careful. Karen is healthy. >. Who is not the opposite of unhealthy? [ Edward ]\n< Michelle is good. Betty is good. John is ignorant. >. Who is not the opposite of bad? [ John ]\n< Kenneth is reliable. Richard is reliable. Linda is irresponsible. >. Who is not the opposite of unreliable? [ Linda ]\n< Dorothy is interesting. Maria is interesting. Jennifer is successful. >. Who is not the opposite of uninteresting? [ Jennifer ]\n< Paul is comfortable. Patricia is stingy. Betty is comfortable. >. Who is not the opposite of uncomfortable? [ Patricia ]\n"}
{"task_id": "task45", "texts": "\n< Friendly Mark. Interesting Kevin. Interesting Kenneth. >. Who is not the opposite of uninteresting? Mark\n< Bad Kevin. Careless Paul. Careless Susan. >. Who is not the opposite of careful? Kevin\n< Unreliable Edward. Irrational Robert. Unreliable Donald. >. Who is not the opposite of reliable? [ Robert ]\n< Happy Helen. Fast Donald. Happy Christopher. >. Who is not the opposite of sad? [ Donald ]\n< Healthy Susan. Slow Sarah. Healthy Paul. >. Who is not the opposite of unhealthy? [ Sarah ]\n< Disloyal Edward. Disloyal Mary. Slow Kevin. >. Who is not the opposite of loyal? [ Kevin ]\n< Brave Barbara. Brave Carol. Uncomfortable Kimberly. >. Who is not the opposite of cowardly? [ Kimberly ]\n< Popular William. Popular Ruth. Slow Kimberly. >. Who is not the opposite of unpopular? [ Kimberly ]\n"}
{"task_id": "task45", "texts": "\n< Passive Maria. Passive Nancy. Dirty Barbara. >. Who is not the opposite of active? Barbara\n< Unfriendly Thomas. Unsuccessful Margaret. Unsuccessful Joseph. >. Who is not the opposite of successful? Thomas\n< Healthy Christopher. Unreliable Kimberly. Healthy Laura. >. Who is not the opposite of unhealthy? [ Kimberly ]\n< Active Christopher. Careless Kimberly. Careless Kevin. >. Who is not the opposite of careful? [ Christopher ]\n< Wrong Michael. Interesting Charles. Interesting Lisa. >. Who is not the opposite of boring? [ Michael ]\n< Loyal Robert. Loyal Mark. Generous Helen. >. Who is not the opposite of disloyal? [ Helen ]\n< Clean Jason. Optimistic Michelle. Clean Kevin. >. Who is not the opposite of dirty? [ Michelle ]\n< Uncomfortable Brian. Uncomfortable Betty. Dishonest Ronald. >. Who is not the opposite of comfortable? [ Ronald ]\n"}
{"task_id": "task45", "texts": "\n< Happy Joseph. Happy George. Healthy Michelle. >. Who is not the opposite of sad? Michelle\n< Honest Lisa. Dirty Jeff. Honest Deborah. >. Who is not the opposite of dishonest? Jeff\n< Stingy Betty. Stingy Christopher. Correct Kevin. >. Who is not the opposite of generous? [ Kevin ]\n< Interesting Steven. Poor Patricia. Interesting Karen. >. Who is not the opposite of boring? [ Patricia ]\n< Right Daniel. Boring William. Boring Richard. >. Who is not the opposite of interesting? [ Daniel ]\n< Uncomfortable Richard. Knowledgeable Karen. Uncomfortable Elizabeth. >. Who is not the opposite of comfortable? [ Karen ]\n< Irresponsible Brian. Brave Betty. Brave Donna. >. Who is not the opposite of cowardly? [ Brian ]\n< Generous Michelle. Happy Charles. Happy Lisa. >. Who is not the opposite of unhappy? [ Michelle ]\n"}
{"task_id": "task45", "texts": "\n< Bad Sarah. Bad Susan. Short Sharon. >. Who is not the opposite of good? Sharon\n< Successful Mark. Dirty Steven. Successful Donald. >. Who is not the opposite of unsuccessful? Steven\n< Optimistic Dorothy. Sick Maria. Sick Linda. >. Who is not the opposite of healthy? [ Dorothy ]\n< Careful Edward. Optimistic Jennifer. Optimistic Elizabeth. >. Who is not the opposite of pessimistic? [ Edward ]\n< Irresponsible Lisa. Responsible Elizabeth. Responsible Donald. >. Who is not the opposite of irresponsible? [ Lisa ]\n< Clean Linda. Clean Sharon. Friendly William. >. Who is not the opposite of dirty? [ William ]\n< Bad Paul. Weak Donna. Bad Richard. >. Who is not the opposite of good? [ Donna ]\n< Unreliable Kenneth. Dishonest Christopher. Dishonest George. >. Who is not the opposite of honest? [ Kenneth ]\n"}
{"task_id": "task45", "texts": "\n< Cowardly Ronald. Optimistic Patricia. Cowardly Mary. >. Who is not the opposite of brave? Patricia\n< Poor Jason. Slow Michael. Slow Daniel. >. Who is not the opposite of fast? Jason\n< Optimistic Jason. Optimistic Susan. Reliable Karen. >. Who is not the opposite of pessimistic? [ Karen ]\n< Boring Michael. Strong Ronald. Strong Susan. >. Who is not the opposite of weak? [ Michael ]\n< Knowledgeable Jason. Knowledgeable Dorothy. Right Christopher. >. Who is not the opposite of ignorant? [ Christopher ]\n< Unlucky Daniel. Ugly Barbara. Unlucky Lisa. >. Who is not the opposite of lucky? [ Barbara ]\n< Cowardly Jason. Sad Michelle. Sad Daniel. >. Who is not the opposite of happy? [ Jason ]\n< Unfriendly Maria. Lucky John. Lucky Sarah. >. Who is not the opposite of unlucky? [ Maria ]\n"}
{"task_id": "task45", "texts": "\n< Loyal Anthony. Loyal Michael. Cowardly Brian. >. Who is not the opposite of disloyal? Brian\n< Responsible Sarah. Happy Karen. Happy Maria. >. Who is not the opposite of sad? Sarah\n< Ugly Michelle. Irresponsible Linda. Irresponsible Kimberly. >. Who is not the opposite of responsible? [ Michelle ]\n< Friendly Jason. Incorrect Kimberly. Friendly Michelle. >. Who is not the opposite of unfriendly? [ Kimberly ]\n< Weak Edward. Fast Susan. Weak Elizabeth. >. Who is not the opposite of strong? [ Susan ]\n< Unfriendly Sharon. Unfriendly Carol. Irrational Helen. >. Who is not the opposite of friendly? [ Helen ]\n< Clean Richard. Healthy Joseph. Clean Margaret. >. Who is not the opposite of dirty? [ Joseph ]\n< Friendly Thomas. Friendly Sharon. Fast John. >. Who is not the opposite of unfriendly? [ John ]\n"}
{"task_id": "task45", "texts": "\n< Dangerous Joseph. Healthy George. Dangerous Anthony. >. Who is not the opposite of safe? George\n< Friendly Anthony. Friendly Sarah. Successful Kevin. >. Who is not the opposite of unfriendly? Kevin\n< Ugly Daniel. Healthy Anthony. Healthy James. >. Who is not the opposite of sick? [ Daniel ]\n< Rational Kenneth. Tall Daniel. Tall Laura. >. Who is not the opposite of short? [ Kenneth ]\n< Rational Barbara. Right Nancy. Rational Christopher. >. Who is not the opposite of irrational? [ Nancy ]\n< Careful Dorothy. Careful Nancy. Brave Lisa. >. Who is not the opposite of careless? [ Lisa ]\n< Poor Mark. Boring Mary. Boring Sarah. >. Who is not the opposite of interesting? [ Mark ]\n< Careful Margaret. Happy Sandra. Happy Lisa. >. Who is not the opposite of unhappy? [ Margaret ]\n"}
{"task_id": "task45", "texts": "\n< Reliable Maria. Bad Mark. Bad Jennifer. >. Who is not the opposite of good? Maria\n< Poor Ruth. Poor Donna. Active Karen. >. Who is not the opposite of rich? Karen\n< Boring Deborah. Cowardly Jason. Boring Kenneth. >. Who is not the opposite of interesting? [ Jason ]\n< Short Linda. Short Mary. Unsuccessful Charles. >. Who is not the opposite of tall? [ Charles ]\n< Wrong David. Incorrect John. Incorrect Thomas. >. Who is not the opposite of correct? [ David ]\n< Good Patricia. Beautiful William. Good Barbara. >. Who is not the opposite of bad? [ William ]\n< Weak Jason. Generous Donna. Weak Mary. >. Who is not the opposite of strong? [ Donna ]\n< Sad Donald. Sad Helen. Clean Donna. >. Who is not the opposite of happy? [ Donna ]\n"}
{"task_id": "task45", "texts": "\n< Ugly Karen. Ugly Kimberly. Sick Michelle. >. Who is not the opposite of beautiful? Michelle\n< Brave Jason. Sad George. Sad Carol. >. Who is not the opposite of happy? Jason\n< Optimistic Betty. Ignorant Edward. Optimistic John. >. Who is not the opposite of pessimistic? [ Edward ]\n< Optimistic Maria. Rich Paul. Optimistic Sarah. >. Who is not the opposite of pessimistic? [ Paul ]\n< Unreliable Christopher. Pessimistic John. Unreliable Joseph. >. Who is not the opposite of reliable? [ John ]\n< Unpopular Kimberly. Unpopular Thomas. Fast Jeff. >. Who is not the opposite of popular? [ Jeff ]\n< Happy Helen. Happy Ruth. Irresponsible Edward. >. Who is not the opposite of unhappy? [ Edward ]\n< Dishonest Kimberly. Right Kenneth. Right Carol. >. Who is not the opposite of wrong? [ Kimberly ]\n"}
{"task_id": "task45", "texts": "\n< Loyal Donna. Loyal Jennifer. Optimistic William. >. Who is not the opposite of disloyal? William\n< Dangerous George. Good Kenneth. Good Edward. >. Who is not the opposite of bad? George\n< Fast Maria. Wrong Brian. Wrong Laura. >. Who is not the opposite of right? [ Maria ]\n< Generous Charles. Happy Thomas. Happy Richard. >. Who is not the opposite of sad? [ Charles ]\n< Dishonest Michelle. Dishonest Elizabeth. Reliable Lisa. >. Who is not the opposite of honest? [ Lisa ]\n< Interesting Ruth. Generous George. Interesting Margaret. >. Who is not the opposite of boring? [ George ]\n< Bad Carol. Lucky Christopher. Lucky Kenneth. >. Who is not the opposite of unlucky? [ Carol ]\n< Unpopular Sandra. Loyal Carol. Unpopular Kimberly. >. Who is not the opposite of popular? [ Carol ]\n"}
{"task_id": "task45", "texts": "\n< Ugly Helen. Bad Donna. Bad Maria. >. Who is not the opposite of good? Helen\n< Passive Daniel. Lucky Edward. Passive Paul. >. Who is not the opposite of active? Edward\n< Wrong Donald. Happy Ruth. Wrong Betty. >. Who is not the opposite of right? [ Ruth ]\n< Passive Brian. Passive Nancy. Happy Barbara. >. Who is not the opposite of active? [ Barbara ]\n< Weak Susan. Weak Patricia. Careful Brian. >. Who is not the opposite of strong? [ Brian ]\n< Uncomfortable Karen. Knowledgeable Donna. Uncomfortable Jennifer. >. Who is not the opposite of comfortable? [ Donna ]\n< Optimistic Margaret. Brave Donald. Optimistic Susan. >. Who is not the opposite of pessimistic? [ Donald ]\n< Friendly Jason. Unsuccessful Robert. Unsuccessful Thomas. >. Who is not the opposite of successful? [ Jason ]\n"}
{"task_id": "task45", "texts": "\n< Passive George. Incorrect Laura. Incorrect Kevin. >. Who is not the opposite of correct? George\n< Honest Linda. Honest Donald. Rational Laura. >. Who is not the opposite of dishonest? Laura\n< Careless Jason. Bad Steven. Bad Dorothy. >. Who is not the opposite of good? [ Jason ]\n< Healthy Kimberly. Careful Edward. Healthy Karen. >. Who is not the opposite of unhealthy? [ Edward ]\n< Good Michelle. Good Betty. Ignorant John. >. Who is not the opposite of bad? [ John ]\n< Reliable Kenneth. Reliable Richard. Irresponsible Linda. >. Who is not the opposite of unreliable? [ Linda ]\n< Interesting Dorothy. Interesting Maria. Successful Jennifer. >. Who is not the opposite of uninteresting? [ Jennifer ]\n< Comfortable Paul. Stingy Patricia. Comfortable Betty. >. Who is not the opposite of uncomfortable? [ Patricia ]\n"}
{"task_id": "task46", "texts": "\n< Sharon is bad. Richard is wrong. Kevin is interesting. >. Who is the opposite of uninteresting? Kevin\n< Sandra is clean. Kevin is successful. Elizabeth is happy. >. Who is the opposite of sad? Elizabeth\n< Brian is successful. Daniel is unpopular. John is cowardly. >. Who is the opposite of brave? [ John ]\n< Ronald is popular. Susan is healthy. Dorothy is fast. >. Who is the opposite of sick? [ Susan ]\n< Michelle is successful. Robert is irrational. Brian is good. >. Who is the opposite of unsuccessful? [ Michelle ]\n< Mary is right. Edward is comfortable. Robert is knowledgeable. >. Who is the opposite of ignorant? [ Robert ]\n< Ronald is reliable. Karen is rich. Dorothy is incorrect. >. Who is the opposite of unreliable? [ Ronald ]\n< Karen is unfriendly. Helen is uncomfortable. Sharon is poor. >. Who is the opposite of comfortable? [ Helen ]\n"}
{"task_id": "task46", "texts": "\n< Jeff is boring. Ruth is passive. Donald is happy. >. Who is the opposite of unhappy? Donald\n< Elizabeth is reliable. Charles is generous. Lisa is good. >. Who is the opposite of unreliable? Elizabeth\n< Deborah is passive. Mark is reliable. Michael is incorrect. >. Who is the opposite of unreliable? [ Mark ]\n< Edward is rational. Joseph is irrational. Sarah is unsuccessful. >. Who is the opposite of rational? [ Joseph ]\n< Margaret is weak. Dorothy is disloyal. Kimberly is happy. >. Who is the opposite of sad? [ Kimberly ]\n< Betty is good. Patricia is disloyal. Linda is happy. >. Who is the opposite of bad? [ Betty ]\n< Kenneth is active. Thomas is unfriendly. Daniel is brave. >. Who is the opposite of cowardly? [ Daniel ]\n< William is pessimistic. Kevin is bad. Charles is friendly. >. Who is the opposite of good? [ Kevin ]\n"}
{"task_id": "task46", "texts": "\n< Sandra is ignorant. Brian is friendly. Carol is healthy. >. Who is the opposite of knowledgeable? Sandra\n< Donna is stingy. Robert is rational. Joseph is optimistic. >. Who is the opposite of generous? Donna\n< Brian is popular. Linda is brave. Ruth is unreliable. >. Who is the opposite of reliable? [ Ruth ]\n< Kimberly is dangerous. Richard is reliable. Barbara is healthy. >. Who is the opposite of sick? [ Barbara ]\n< Margaret is right. Kenneth is strong. Daniel is stingy. >. Who is the opposite of wrong? [ Margaret ]\n< Sharon is short. Michelle is poor. Ruth is ugly. >. Who is the opposite of rich? [ Michelle ]\n< Sandra is disloyal. Kimberly is unsuccessful. Steven is comfortable. >. Who is the opposite of successful? [ Kimberly ]\n< Paul is irresponsible. Mary is ignorant. Daniel is stingy. >. Who is the opposite of knowledgeable? [ Mary ]\n"}
{"task_id": "task46", "texts": "\n< Anthony is strong. Sarah is pessimistic. Kevin is rich. >. Who is the opposite of poor? Kevin\n< Joseph is rational. Brian is rich. Kenneth is healthy. >. Who is the opposite of sick? Kenneth\n< Brian is weak. Patricia is careful. Donna is disloyal. >. Who is the opposite of careless? [ Patricia ]\n< George is weak. Margaret is lucky. Patricia is careful. >. Who is the opposite of unlucky? [ Margaret ]\n< Ronald is irrational. Edward is strong. Barbara is popular. >. Who is the opposite of rational? [ Ronald ]\n< Lisa is irresponsible. Jennifer is careful. Kevin is good. >. Who is the opposite of responsible? [ Lisa ]\n< Kimberly is dirty. Maria is lucky. Brian is active. >. Who is the opposite of passive? [ Brian ]\n< Karen is pessimistic. Ruth is weak. Daniel is dangerous. >. Who is the opposite of optimistic? [ Karen ]\n"}
{"task_id": "task46", "texts": "\n< Joseph is sad. John is careless. Donald is good. >. Who is the opposite of happy? Joseph\n< Ruth is irresponsible. Betty is active. Kenneth is rich. >. Who is the opposite of poor? Kenneth\n< Anthony is uncomfortable. Kevin is dishonest. Ronald is dirty. >. Who is the opposite of honest? [ Kevin ]\n< Elizabeth is sick. Paul is short. Anthony is safe. >. Who is the opposite of dangerous? [ Anthony ]\n< Kevin is unpopular. William is reliable. Maria is comfortable. >. Who is the opposite of popular? [ Kevin ]\n< Mark is sick. Paul is irresponsible. George is fast. >. Who is the opposite of responsible? [ Paul ]\n< John is popular. Sandra is passive. Lisa is slow. >. Who is the opposite of active? [ Sandra ]\n< Kevin is clean. Brian is loyal. Jeff is comfortable. >. Who is the opposite of uncomfortable? [ Jeff ]\n"}
{"task_id": "task46", "texts": "\n< David is knowledgeable. John is unlucky. Sarah is unsuccessful. >. Who is the opposite of successful? Sarah\n< Barbara is incorrect. Margaret is ugly. Michael is poor. >. Who is the opposite of rich? Michael\n< Edward is boring. James is comfortable. Barbara is clean. >. Who is the opposite of interesting? [ Edward ]\n< Margaret is fast. Jeff is ugly. Christopher is correct. >. Who is the opposite of beautiful? [ Jeff ]\n< Kenneth is brave. Brian is dishonest. Linda is safe. >. Who is the opposite of cowardly? [ Kenneth ]\n< Christopher is comfortable. Edward is rational. Elizabeth is knowledgeable. >. Who is the opposite of ignorant? [ Elizabeth ]\n< Brian is loyal. Christopher is honest. Jason is clean. >. Who is the opposite of dishonest? [ Christopher ]\n< Jeff is unreliable. Charles is lucky. Nancy is short. >. Who is the opposite of reliable? [ Jeff ]\n"}
{"task_id": "task46", "texts": "\n< Elizabeth is comfortable. Donna is disloyal. Steven is clean. >. Who is the opposite of uncomfortable? Elizabeth\n< Ruth is honest. Patricia is correct. Sarah is reliable. >. Who is the opposite of dishonest? Ruth\n< Susan is slow. Brian is sick. William is clean. >. Who is the opposite of dirty? [ William ]\n< Christopher is wrong. Dorothy is honest. Richard is dishonest. >. Who is the opposite of right? [ Christopher ]\n< Barbara is uncomfortable. Sharon is optimistic. Kenneth is stingy. >. Who is the opposite of generous? [ Kenneth ]\n< Richard is cowardly. Elizabeth is interesting. Ruth is good. >. Who is the opposite of uninteresting? [ Elizabeth ]\n< Betty is brave. William is comfortable. George is stingy. >. Who is the opposite of uncomfortable? [ William ]\n< Sharon is short. Charles is disloyal. Mary is right. >. Who is the opposite of wrong? [ Mary ]\n"}
{"task_id": "task46", "texts": "\n< Sarah is right. Mark is poor. Donald is sad. >. Who is the opposite of wrong? Sarah\n< Margaret is irresponsible. John is happy. Mary is successful. >. Who is the opposite of responsible? Margaret\n< Richard is unpopular. Karen is tall. Lisa is careful. >. Who is the opposite of careless? [ Lisa ]\n< Kevin is tall. David is popular. Charles is bad. >. Who is the opposite of good? [ Charles ]\n< Elizabeth is interesting. Helen is pessimistic. Jeff is fast. >. Who is the opposite of slow? [ Jeff ]\n< Barbara is strong. Deborah is pessimistic. David is honest. >. Who is the opposite of optimistic? [ Deborah ]\n< Elizabeth is rational. Deborah is brave. Michael is generous. >. Who is the opposite of cowardly? [ Deborah ]\n< William is loyal. Richard is popular. James is wrong. >. Who is the opposite of unpopular? [ Richard ]\n"}
{"task_id": "task46", "texts": "\n< Deborah is stingy. Thomas is dishonest. Susan is happy. >. Who is the opposite of unhappy? Susan\n< Kimberly is wrong. Patricia is sad. Brian is strong. >. Who is the opposite of weak? Brian\n< Donald is happy. Patricia is popular. Thomas is disloyal. >. Who is the opposite of unhappy? [ Donald ]\n< Dorothy is tall. Ronald is happy. Christopher is weak. >. Who is the opposite of unhappy? [ Ronald ]\n< Kevin is ugly. Patricia is wrong. Thomas is ignorant. >. Who is the opposite of knowledgeable? [ Thomas ]\n< James is comfortable. Karen is uncomfortable. Jeff is wrong. >. Who is the opposite of comfortable? [ Karen ]\n< William is unfriendly. Patricia is rich. Daniel is irrational. >. Who is the opposite of friendly? [ William ]\n< Barbara is responsible. Donald is boring. Charles is loyal. >. Who is the opposite of interesting? [ Donald ]\n"}
{"task_id": "task46", "texts": "\n< John is slow. George is stingy. Linda is careless. >. Who is the opposite of careful? Linda\n< Elizabeth is beautiful. Patricia is healthy. Laura is rich. >. Who is the opposite of ugly? Elizabeth\n< Ronald is optimistic. Maria is bad. David is popular. >. Who is the opposite of unpopular? [ David ]\n< Susan is weak. Donald is unfriendly. Charles is correct. >. Who is the opposite of strong? [ Susan ]\n< Laura is ignorant. Susan is unreliable. Maria is right. >. Who is the opposite of reliable? [ Susan ]\n< Thomas is right. Donna is happy. James is successful. >. Who is the opposite of sad? [ Donna ]\n< Deborah is right. Donna is cowardly. Brian is bad. >. Who is the opposite of wrong? [ Deborah ]\n< Robert is friendly. Margaret is dishonest. Nancy is incorrect. >. Who is the opposite of unfriendly? [ Robert ]\n"}
{"task_id": "task46", "texts": "\n< Elizabeth is bad. Nancy is dangerous. Jason is right. >. Who is the opposite of wrong? Jason\n< Margaret is honest. Dorothy is stingy. Carol is sick. >. Who is the opposite of generous? Dorothy\n< Ronald is wrong. Nancy is right. Jason is unsuccessful. >. Who is the opposite of wrong? [ Nancy ]\n< Michael is ugly. George is pessimistic. Patricia is short. >. Who is the opposite of beautiful? [ Michael ]\n< Michael is reliable. Sarah is loyal. Nancy is sad. >. Who is the opposite of unreliable? [ Michael ]\n< Ronald is pessimistic. David is brave. Charles is ugly. >. Who is the opposite of cowardly? [ David ]\n< Kenneth is stingy. Patricia is slow. Deborah is ignorant. >. Who is the opposite of knowledgeable? [ Deborah ]\n< Jeff is boring. Joseph is healthy. Patricia is knowledgeable. >. Who is the opposite of interesting? [ Jeff ]\n"}
{"task_id": "task46", "texts": "\n< John is right. Daniel is careless. Helen is pessimistic. >. Who is the opposite of wrong? John\n< Kimberly is cowardly. Thomas is friendly. Edward is strong. >. Who is the opposite of weak? Edward\n< Mark is healthy. Donald is short. Barbara is stingy. >. Who is the opposite of tall? [ Donald ]\n< Jennifer is disloyal. Margaret is brave. Kimberly is poor. >. Who is the opposite of rich? [ Kimberly ]\n< Charles is lucky. Barbara is disloyal. Brian is good. >. Who is the opposite of unlucky? [ Charles ]\n< James is reliable. Margaret is poor. Dorothy is ignorant. >. Who is the opposite of rich? [ Margaret ]\n< Betty is dishonest. Linda is pessimistic. James is brave. >. Who is the opposite of optimistic? [ Linda ]\n< Susan is incorrect. Betty is safe. George is sad. >. Who is the opposite of happy? [ George ]\n"}
{"task_id": "task47", "texts": "\n< Bad Sharon. Wrong Richard. Interesting Kevin. >. Who is the opposite of uninteresting? Kevin\n< Clean Sandra. Successful Kevin. Happy Elizabeth. >. Who is the opposite of sad? Elizabeth\n< Successful Brian. Unpopular Daniel. Cowardly John. >. Who is the opposite of brave? [ John ]\n< Popular Ronald. Healthy Susan. Fast Dorothy. >. Who is the opposite of sick? [ Susan ]\n< Successful Michelle. Irrational Robert. Good Brian. >. Who is the opposite of unsuccessful? [ Michelle ]\n< Right Mary. Comfortable Edward. Knowledgeable Robert. >. Who is the opposite of ignorant? [ Robert ]\n< Reliable Ronald. Rich Karen. Incorrect Dorothy. >. Who is the opposite of unreliable? [ Ronald ]\n< Unfriendly Karen. Uncomfortable Helen. Poor Sharon. >. Who is the opposite of comfortable? [ Helen ]\n"}
{"task_id": "task47", "texts": "\n< Boring Jeff. Passive Ruth. Happy Donald. >. Who is the opposite of unhappy? Donald\n< Reliable Elizabeth. Generous Charles. Good Lisa. >. Who is the opposite of unreliable? Elizabeth\n< Passive Deborah. Reliable Mark. Incorrect Michael. >. Who is the opposite of unreliable? [ Mark ]\n< Rational Edward. Irrational Joseph. Unsuccessful Sarah. >. Who is the opposite of rational? [ Joseph ]\n< Weak Margaret. Disloyal Dorothy. Happy Kimberly. >. Who is the opposite of sad? [ Kimberly ]\n< Good Betty. Disloyal Patricia. Happy Linda. >. Who is the opposite of bad? [ Betty ]\n< Active Kenneth. Unfriendly Thomas. Brave Daniel. >. Who is the opposite of cowardly? [ Daniel ]\n< Pessimistic William. Bad Kevin. Friendly Charles. >. Who is the opposite of good? [ Kevin ]\n"}
{"task_id": "task47", "texts": "\n< Ignorant Sandra. Friendly Brian. Healthy Carol. >. Who is the opposite of knowledgeable? Sandra\n< Stingy Donna. Rational Robert. Optimistic Joseph. >. Who is the opposite of generous? Donna\n< Popular Brian. Brave Linda. Unreliable Ruth. >. Who is the opposite of reliable? [ Ruth ]\n< Dangerous Kimberly. Reliable Richard. Healthy Barbara. >. Who is the opposite of sick? [ Barbara ]\n< Right Margaret. Strong Kenneth. Stingy Daniel. >. Who is the opposite of wrong? [ Margaret ]\n< Short Sharon. Poor Michelle. Ugly Ruth. >. Who is the opposite of rich? [ Michelle ]\n< Disloyal Sandra. Unsuccessful Kimberly. Comfortable Steven. >. Who is the opposite of successful? [ Kimberly ]\n< Irresponsible Paul. Ignorant Mary. Stingy Daniel. >. Who is the opposite of knowledgeable? [ Mary ]\n"}
{"task_id": "task47", "texts": "\n< Strong Anthony. Pessimistic Sarah. Rich Kevin. >. Who is the opposite of poor? Kevin\n< Rational Joseph. Rich Brian. Healthy Kenneth. >. Who is the opposite of sick? Kenneth\n< Weak Brian. Careful Patricia. Disloyal Donna. >. Who is the opposite of careless? [ Patricia ]\n< Weak George. Lucky Margaret. Careful Patricia. >. Who is the opposite of unlucky? [ Margaret ]\n< Irrational Ronald. Strong Edward. Popular Barbara. >. Who is the opposite of rational? [ Ronald ]\n< Irresponsible Lisa. Careful Jennifer. Good Kevin. >. Who is the opposite of responsible? [ Lisa ]\n< Dirty Kimberly. Lucky Maria. Active Brian. >. Who is the opposite of passive? [ Brian ]\n< Pessimistic Karen. Weak Ruth. Dangerous Daniel. >. Who is the opposite of optimistic? [ Karen ]\n"}
{"task_id": "task47", "texts": "\n< Sad Joseph. Careless John. Good Donald. >. Who is the opposite of happy? Joseph\n< Irresponsible Ruth. Active Betty. Rich Kenneth. >. Who is the opposite of poor? Kenneth\n< Uncomfortable Anthony. Dishonest Kevin. Dirty Ronald. >. Who is the opposite of honest? [ Kevin ]\n< Sick Elizabeth. Short Paul. Safe Anthony. >. Who is the opposite of dangerous? [ Anthony ]\n< Unpopular Kevin. Reliable William. Comfortable Maria. >. Who is the opposite of popular? [ Kevin ]\n< Sick Mark. Irresponsible Paul. Fast George. >. Who is the opposite of responsible? [ Paul ]\n< Popular John. Passive Sandra. Slow Lisa. >. Who is the opposite of active? [ Sandra ]\n< Clean Kevin. Loyal Brian. Comfortable Jeff. >. Who is the opposite of uncomfortable? [ Jeff ]\n"}
{"task_id": "task47", "texts": "\n< Knowledgeable David. Unlucky John. Unsuccessful Sarah. >. Who is the opposite of successful? Sarah\n< Incorrect Barbara. Ugly Margaret. Poor Michael. >. Who is the opposite of rich? Michael\n< Boring Edward. Comfortable James. Clean Barbara. >. Who is the opposite of interesting? [ Edward ]\n< Fast Margaret. Ugly Jeff. Correct Christopher. >. Who is the opposite of beautiful? [ Jeff ]\n< Brave Kenneth. Dishonest Brian. Safe Linda. >. Who is the opposite of cowardly? [ Kenneth ]\n< Comfortable Christopher. Rational Edward. Knowledgeable Elizabeth. >. Who is the opposite of ignorant? [ Elizabeth ]\n< Loyal Brian. Honest Christopher. Clean Jason. >. Who is the opposite of dishonest? [ Christopher ]\n< Unreliable Jeff. Lucky Charles. Short Nancy. >. Who is the opposite of reliable? [ Jeff ]\n"}
{"task_id": "task47", "texts": "\n< Comfortable Elizabeth. Disloyal Donna. Clean Steven. >. Who is the opposite of uncomfortable? Elizabeth\n< Honest Ruth. Correct Patricia. Reliable Sarah. >. Who is the opposite of dishonest? Ruth\n< Slow Susan. Sick Brian. Clean William. >. Who is the opposite of dirty? [ William ]\n< Wrong Christopher. Honest Dorothy. Dishonest Richard. >. Who is the opposite of right? [ Christopher ]\n< Uncomfortable Barbara. Optimistic Sharon. Stingy Kenneth. >. Who is the opposite of generous? [ Kenneth ]\n< Cowardly Richard. Interesting Elizabeth. Good Ruth. >. Who is the opposite of uninteresting? [ Elizabeth ]\n< Brave Betty. Comfortable William. Stingy George. >. Who is the opposite of uncomfortable? [ William ]\n< Short Sharon. Disloyal Charles. Right Mary. >. Who is the opposite of wrong? [ Mary ]\n"}
{"task_id": "task47", "texts": "\n< Right Sarah. Poor Mark. Sad Donald. >. Who is the opposite of wrong? Sarah\n< Irresponsible Margaret. Happy John. Successful Mary. >. Who is the opposite of responsible? Margaret\n< Unpopular Richard. Tall Karen. Careful Lisa. >. Who is the opposite of careless? [ Lisa ]\n< Tall Kevin. Popular David. Bad Charles. >. Who is the opposite of good? [ Charles ]\n< Interesting Elizabeth. Pessimistic Helen. Fast Jeff. >. Who is the opposite of slow? [ Jeff ]\n< Strong Barbara. Pessimistic Deborah. Honest David. >. Who is the opposite of optimistic? [ Deborah ]\n< Rational Elizabeth. Brave Deborah. Generous Michael. >. Who is the opposite of cowardly? [ Deborah ]\n< Loyal William. Popular Richard. Wrong James. >. Who is the opposite of unpopular? [ Richard ]\n"}
{"task_id": "task47", "texts": "\n< Stingy Deborah. Dishonest Thomas. Happy Susan. >. Who is the opposite of unhappy? Susan\n< Wrong Kimberly. Sad Patricia. Strong Brian. >. Who is the opposite of weak? Brian\n< Happy Donald. Popular Patricia. Disloyal Thomas. >. Who is the opposite of unhappy? [ Donald ]\n< Tall Dorothy. Happy Ronald. Weak Christopher. >. Who is the opposite of unhappy? [ Ronald ]\n< Ugly Kevin. Wrong Patricia. Ignorant Thomas. >. Who is the opposite of knowledgeable? [ Thomas ]\n< Comfortable James. Uncomfortable Karen. Wrong Jeff. >. Who is the opposite of comfortable? [ Karen ]\n< Unfriendly William. Rich Patricia. Irrational Daniel. >. Who is the opposite of friendly? [ William ]\n< Responsible Barbara. Boring Donald. Loyal Charles. >. Who is the opposite of interesting? [ Donald ]\n"}
{"task_id": "task47", "texts": "\n< Slow John. Stingy George. Careless Linda. >. Who is the opposite of careful? Linda\n< Beautiful Elizabeth. Healthy Patricia. Rich Laura. >. Who is the opposite of ugly? Elizabeth\n< Optimistic Ronald. Bad Maria. Popular David. >. Who is the opposite of unpopular? [ David ]\n< Weak Susan. Unfriendly Donald. Correct Charles. >. Who is the opposite of strong? [ Susan ]\n< Ignorant Laura. Unreliable Susan. Right Maria. >. Who is the opposite of reliable? [ Susan ]\n< Right Thomas. Happy Donna. Successful James. >. Who is the opposite of sad? [ Donna ]\n< Right Deborah. Cowardly Donna. Bad Brian. >. Who is the opposite of wrong? [ Deborah ]\n< Friendly Robert. Dishonest Margaret. Incorrect Nancy. >. Who is the opposite of unfriendly? [ Robert ]\n"}
{"task_id": "task47", "texts": "\n< Bad Elizabeth. Dangerous Nancy. Right Jason. >. Who is the opposite of wrong? Jason\n< Honest Margaret. Stingy Dorothy. Sick Carol. >. Who is the opposite of generous? Dorothy\n< Wrong Ronald. Right Nancy. Unsuccessful Jason. >. Who is the opposite of wrong? [ Nancy ]\n< Ugly Michael. Pessimistic George. Short Patricia. >. Who is the opposite of beautiful? [ Michael ]\n< Reliable Michael. Loyal Sarah. Sad Nancy. >. Who is the opposite of unreliable? [ Michael ]\n< Pessimistic Ronald. Brave David. Ugly Charles. >. Who is the opposite of cowardly? [ David ]\n< Stingy Kenneth. Slow Patricia. Ignorant Deborah. >. Who is the opposite of knowledgeable? [ Deborah ]\n< Boring Jeff. Healthy Joseph. Knowledgeable Patricia. >. Who is the opposite of interesting? [ Jeff ]\n"}
{"task_id": "task47", "texts": "\n< Right John. Careless Daniel. Pessimistic Helen. >. Who is the opposite of wrong? John\n< Cowardly Kimberly. Friendly Thomas. Strong Edward. >. Who is the opposite of weak? Edward\n< Healthy Mark. Short Donald. Stingy Barbara. >. Who is the opposite of tall? [ Donald ]\n< Disloyal Jennifer. Brave Margaret. Poor Kimberly. >. Who is the opposite of rich? [ Kimberly ]\n< Lucky Charles. Disloyal Barbara. Good Brian. >. Who is the opposite of unlucky? [ Charles ]\n< Reliable James. Poor Margaret. Ignorant Dorothy. >. Who is the opposite of rich? [ Margaret ]\n< Dishonest Betty. Pessimistic Linda. Brave James. >. Who is the opposite of optimistic? [ Linda ]\n< Incorrect Susan. Safe Betty. Sad George. >. Who is the opposite of happy? [ George ]\n"}
{"task_id": "task48", "texts": "\n< Ruth arrived in 2010. John arrived in 2014. John arrived in 2012. >. John did not arrive the year just before 2011\n< Sandra arrived on Wednesday. Edward arrived on Tuesday. Sandra arrived on Thursday. >. Sandra did not arrive the day just before Wednesday\n< Jeff arrived at 8 o'clock. Jeff arrived at 1 o'clock. Sandra arrived at 10 o'clock. >. Jeff did not arrive the time just before [ 11 o'clock ]\n< Brian arrived in 2014. Brian arrived in 2017. Ruth arrived in 2011. >. Brian did not arrive the year just before [ 2012 ]\n< Mark arrived in autumn. Sarah arrived in spring. Mark arrived in summer. >. Mark did not arrive the season just before [ summer ]\n< Dorothy arrived in 2013. Dorothy arrived in 2015. Daniel arrived in 2016. >. Dorothy did not arrive the year just before [ 2017 ]\n< Mary arrived in August. Mary arrived in April. Kenneth arrived in October. >. Mary did not arrive the month just before [ November ]\n< Sharon arrived on Wednesday. Michael arrived on Friday. Michael arrived on Tuesday. >. Michael did not arrive the day just before [ Thursday ]\n"}
{"task_id": "task48", "texts": "\n< Edward arrived in September. Betty arrived in July. Betty arrived in October. >. Betty did not show up the month just before October\n< Jason arrived in October. Jason arrived in February. Donna arrived in April. >. Jason did not show up the month just before May\n< Dorothy arrived in April. Edward arrived in October. Dorothy arrived in February. >. Dorothy did not show up the month just before [ November ]\n< Helen arrived in May. James arrived in January. James arrived in October. >. James did not show up the month just before [ June ]\n< James arrived at 3 o'clock. Ruth arrived at 8 o'clock. James arrived at 6 o'clock. >. James did not show up the time just before [ 9 o'clock ]\n< Mary arrived at 3 o'clock. Mary arrived at 10 o'clock. Michael arrived at 11 o'clock. >. Mary did not show up the time just before [ 12 o'clock ]\n< Sharon arrived in 2014. Steven arrived in 2013. Sharon arrived in 2018. >. Sharon did not show up the year just before [ 2014 ]\n< Helen arrived in 2011. George arrived in 2013. Helen arrived in 2018. >. Helen did not show up the year just before [ 2014 ]\n"}
{"task_id": "task48", "texts": "\n< James arrived in February. Linda arrived in September. Linda arrived in March. >. Linda did not arrive the month just before March\n< Elizabeth arrived in 2018. Elizabeth arrived in 2014. Kenneth arrived in 2017. >. Elizabeth did not arrive the year just before 2018\n< Mark arrived at 5 o'clock. Mark arrived at 1 o'clock. Deborah arrived at 9 o'clock. >. Mark did not arrive the time just before [ 10 o'clock ]\n< Charles arrived in 2018. Patricia arrived in 2017. Patricia arrived in 2012. >. Patricia did not arrive the year just before [ 2019 ]\n< Deborah arrived on Friday. Deborah arrived on Wednesday. Steven arrived on Thursday. >. Deborah did not arrive the day just before [ Friday ]\n< Karen arrived in 2010. Robert arrived in 2011. Karen arrived in 2016. >. Karen did not arrive the year just before [ 2012 ]\n< Kenneth arrived at 7 o'clock. Patricia arrived at 6 o'clock. Patricia arrived at 10 o'clock. >. Patricia did not arrive the time just before [ 8 o'clock ]\n< Christopher arrived in 2013. Kimberly arrived in 2014. Christopher arrived in 2011. >. Christopher did not arrive the year just before [ 2015 ]\n"}
{"task_id": "task48", "texts": "\n< Brian arrived in March. Brian arrived in November. Carol arrived in September. >. Brian did not show up the month just before October\n< Ruth arrived in 2016. Daniel arrived in 2012. Ruth arrived in 2018. >. Ruth did not show up the year just before 2013\n< Dorothy arrived in spring. Edward arrived in summer. Edward arrived in autumn. >. Edward did not show up the season just before [ summer ]\n< Barbara arrived on Thursday. Jeff arrived on Wednesday. Jeff arrived on Friday. >. Jeff did not show up the day just before [ Friday ]\n< James arrived in June. Ruth arrived in January. James arrived in May. >. James did not show up the month just before [ February ]\n< Dorothy arrived in 2012. Joseph arrived in 2010. Joseph arrived in 2013. >. Joseph did not show up the year just before [ 2013 ]\n< John arrived on Monday. John arrived on Tuesday. Laura arrived on Thursday. >. John did not show up the day just before [ Friday ]\n< Edward arrived in autumn. Edward arrived in spring. Sharon arrived in summer. >. Edward did not show up the season just before [ autumn ]\n"}
{"task_id": "task48", "texts": "\n< Jeff arrived in 2010. Elizabeth arrived in 2013. Jeff arrived in 2015. >. Jeff did not show up the year just before 2014\n< Kimberly arrived in summer. Kimberly arrived in autumn. Anthony arrived in spring. >. Kimberly did not show up the season just before summer\n< Ronald arrived on Wednesday. Laura arrived on Tuesday. Laura arrived on Friday. >. Laura did not show up the day just before [ Thursday ]\n< Helen arrived in August. Christopher arrived in April. Christopher arrived in June. >. Christopher did not show up the month just before [ September ]\n< Mary arrived at 4 o'clock. Mary arrived at 1 o'clock. Kenneth arrived at 8 o'clock. >. Mary did not show up the time just before [ 9 o'clock ]\n< Steven arrived in 2012. Lisa arrived in 2013. Steven arrived in 2014. >. Steven did not show up the year just before [ 2014 ]\n< Laura arrived on Tuesday. Laura arrived on Wednesday. Kenneth arrived on Monday. >. Laura did not show up the day just before [ Tuesday ]\n< George arrived in February. Michelle arrived in September. George arrived in August. >. George did not show up the month just before [ October ]\n"}
{"task_id": "task48", "texts": "\n< John arrived in 2012. John arrived in 2010. Elizabeth arrived in 2018. >. John did not arrive the year just before 2019\n< Nancy arrived in spring. Paul arrived in summer. Paul arrived in autumn. >. Paul did not arrive the season just before summer\n< Patricia arrived on Tuesday. Robert arrived on Wednesday. Robert arrived on Monday. >. Robert did not arrive the day just before [ Wednesday ]\n< Betty arrived in summer. Kevin arrived in spring. Kevin arrived in autumn. >. Kevin did not arrive the season just before [ autumn ]\n< Paul arrived on Friday. Kimberly arrived on Monday. Paul arrived on Thursday. >. Paul did not arrive the day just before [ Tuesday ]\n< Mark arrived on Friday. Sarah arrived on Thursday. Mark arrived on Tuesday. >. Mark did not arrive the day just before [ Friday ]\n< Charles arrived in spring. Nancy arrived in summer. Nancy arrived in autumn. >. Nancy did not arrive the season just before [ summer ]\n< Kenneth arrived on Thursday. Kenneth arrived on Friday. Jennifer arrived on Tuesday. >. Kenneth did not arrive the day just before [ Wednesday ]\n"}
{"task_id": "task48", "texts": "\n< George arrived at 2 o'clock. Nancy arrived at 10 o'clock. George arrived at 11 o'clock. >. George did not show up the time just before 11 o'clock\n< Edward arrived on Friday. Edward arrived on Monday. Carol arrived on Wednesday. >. Edward did not show up the day just before Thursday\n< Patricia arrived in spring. Patricia arrived in autumn. David arrived in summer. >. Patricia did not show up the season just before [ autumn ]\n< Jeff arrived in 2010. Helen arrived in 2016. Helen arrived in 2017. >. Helen did not show up the year just before [ 2011 ]\n< Lisa arrived on Monday. Kenneth arrived on Tuesday. Kenneth arrived on Wednesday. >. Kenneth did not show up the day just before [ Tuesday ]\n< Mary arrived in 2013. Mark arrived in 2010. Mary arrived in 2015. >. Mary did not show up the year just before [ 2011 ]\n< Paul arrived in July. Lisa arrived in March. Lisa arrived in September. >. Lisa did not show up the month just before [ August ]\n< Dorothy arrived at 5 o'clock. Dorothy arrived at 9 o'clock. Steven arrived at 10 o'clock. >. Dorothy did not show up the time just before [ 11 o'clock ]\n"}
{"task_id": "task48", "texts": "\n< Kevin arrived on Monday. Kimberly arrived on Friday. Kimberly arrived on Wednesday. >. Kimberly did not show up the day just before Tuesday\n< Nancy arrived in November. Nancy arrived in September. Brian arrived in January. >. Nancy did not show up the month just before February\n< Brian arrived in August. Brian arrived in June. Karen arrived in October. >. Brian did not show up the month just before [ November ]\n< Karen arrived in 2014. Brian arrived in 2011. Brian arrived in 2010. >. Brian did not show up the year just before [ 2015 ]\n< Daniel arrived in 2014. Daniel arrived in 2015. Donna arrived in 2017. >. Daniel did not show up the year just before [ 2018 ]\n< Sandra arrived at 7 o'clock. Sandra arrived at 3 o'clock. John arrived at 2 o'clock. >. Sandra did not show up the time just before [ 3 o'clock ]\n< Nancy arrived in January. Daniel arrived in March. Nancy arrived in September. >. Nancy did not show up the month just before [ April ]\n< John arrived in 2018. Lisa arrived in 2017. John arrived in 2016. >. John did not show up the year just before [ 2018 ]\n"}
{"task_id": "task48", "texts": "\n< Deborah arrived on Friday. Ronald arrived on Monday. Deborah arrived on Wednesday. >. Deborah did not show up the day just before Tuesday\n< Donna arrived in March. Anthony arrived in April. Donna arrived in June. >. Donna did not show up the month just before May\n< Betty arrived on Monday. Jason arrived on Wednesday. Betty arrived on Friday. >. Betty did not show up the day just before [ Thursday ]\n< Jason arrived in 2017. Jennifer arrived in 2013. Jennifer arrived in 2014. >. Jennifer did not show up the year just before [ 2018 ]\n< David arrived at 7 o'clock. Kimberly arrived at 4 o'clock. Kimberly arrived at 9 o'clock. >. Kimberly did not show up the time just before [ 8 o'clock ]\n< Ronald arrived in September. Mary arrived in April. Mary arrived in June. >. Mary did not show up the month just before [ October ]\n< Anthony arrived on Tuesday. Anthony arrived on Monday. Sandra arrived on Thursday. >. Anthony did not show up the day just before [ Friday ]\n< Nancy arrived in autumn. Nancy arrived in spring. Kevin arrived in summer. >. Nancy did not show up the season just before [ autumn ]\n"}
{"task_id": "task48", "texts": "\n< Laura arrived in August. James arrived in March. Laura arrived in July. >. Laura did not arrive the month just before April\n< Linda arrived in 2017. Richard arrived in 2014. Linda arrived in 2015. >. Linda did not arrive the year just before 2015\n< Richard arrived on Tuesday. Richard arrived on Monday. Karen arrived on Friday. >. Richard did not arrive the day just before [ Saturday ]\n< Robert arrived on Thursday. Elizabeth arrived on Friday. Elizabeth arrived on Tuesday. >. Elizabeth did not arrive the day just before [ Friday ]\n< Thomas arrived in 2016. Margaret arrived in 2017. Thomas arrived in 2018. >. Thomas did not arrive the year just before [ 2018 ]\n< Anthony arrived in autumn. Karen arrived in summer. Karen arrived in spring. >. Karen did not arrive the season just before [ winter ]\n< Donna arrived on Monday. Donna arrived on Tuesday. William arrived on Thursday. >. Donna did not arrive the day just before [ Friday ]\n< Jennifer arrived in October. Ronald arrived in April. Jennifer arrived in September. >. Jennifer did not arrive the month just before [ May ]\n"}
{"task_id": "task48", "texts": "\n< Christopher arrived at 9 o'clock. Carol arrived at 2 o'clock. Christopher arrived at 3 o'clock. >. Christopher did not show up the time just before 3 o'clock\n< Deborah arrived on Friday. Deborah arrived on Tuesday. William arrived on Thursday. >. Deborah did not show up the day just before Friday\n< Patricia arrived in September. Daniel arrived in January. Daniel arrived in April. >. Daniel did not show up the month just before [ October ]\n< Nancy arrived in 2015. Jeff arrived in 2014. Jeff arrived in 2011. >. Jeff did not show up the year just before [ 2016 ]\n< Deborah arrived in 2010. James arrived in 2011. Deborah arrived in 2014. >. Deborah did not show up the year just before [ 2012 ]\n< Sandra arrived in summer. Sandra arrived in autumn. Daniel arrived in spring. >. Sandra did not show up the season just before [ summer ]\n< Joseph arrived on Wednesday. Betty arrived on Monday. Betty arrived on Thursday. >. Betty did not show up the day just before [ Thursday ]\n< Donald arrived at 11 o'clock. Elizabeth arrived at 9 o'clock. Donald arrived at 7 o'clock. >. Donald did not show up the time just before [ 10 o'clock ]\n"}
{"task_id": "task48", "texts": "\n< Lisa arrived in summer. Lisa arrived in spring. John arrived in autumn. >. Lisa did not appear the season just before winter\n< Helen arrived on Thursday. Jeff arrived on Monday. Jeff arrived on Wednesday. >. Jeff did not appear the day just before Friday\n< Sharon arrived in August. Sharon arrived in September. Kenneth arrived in February. >. Sharon did not appear the month just before [ March ]\n< Linda arrived in January. Linda arrived in May. Christopher arrived in June. >. Linda did not appear the month just before [ July ]\n< Donna arrived in 2015. Donna arrived in 2013. John arrived in 2012. >. Donna did not appear the year just before [ 2013 ]\n< Lisa arrived on Wednesday. Kenneth arrived on Thursday. Lisa arrived on Tuesday. >. Lisa did not appear the day just before [ Friday ]\n< Richard arrived in spring. Michelle arrived in summer. Richard arrived in autumn. >. Richard did not appear the season just before [ autumn ]\n< Kimberly arrived in August. William arrived in March. William arrived in July. >. William did not appear the month just before [ September ]\n"}
{"task_id": "task49", "texts": "\n< In 2010 arrived Ruth. In 2014 arrived John. In 2012 arrived John. >. John did not arrive the year just before 2011\n< On Wednesday arrived Sandra. On Tuesday arrived Edward. On Thursday arrived Sandra. >. Sandra did not arrive the day just before Wednesday\n< At 8 o'clock arrived Jeff. At 1 o'clock arrived Jeff. At 10 o'clock arrived Sandra. >. Jeff did not arrive the time just before [ 11 o'clock ]\n< In 2014 arrived Brian. In 2017 arrived Brian. In 2011 arrived Ruth. >. Brian did not arrive the year just before [ 2012 ]\n< In autumn arrived Mark. In spring arrived Sarah. In summer arrived Mark. >. Mark did not arrive the season just before [ summer ]\n< In 2013 arrived Dorothy. In 2015 arrived Dorothy. In 2016 arrived Daniel. >. Dorothy did not arrive the year just before [ 2017 ]\n< In August arrived Mary. In April arrived Mary. In October arrived Kenneth. >. Mary did not arrive the month just before [ November ]\n< On Wednesday arrived Sharon. On Friday arrived Michael. On Tuesday arrived Michael. >. Michael did not arrive the day just before [ Thursday ]\n"}
{"task_id": "task49", "texts": "\n< In September arrived Edward. In July arrived Betty. In October arrived Betty. >. Betty did not show up the month just before October\n< In October arrived Jason. In February arrived Jason. In April arrived Donna. >. Jason did not show up the month just before May\n< In April arrived Dorothy. In October arrived Edward. In February arrived Dorothy. >. Dorothy did not show up the month just before [ November ]\n< In May arrived Helen. In January arrived James. In October arrived James. >. James did not show up the month just before [ June ]\n< At 3 o'clock arrived James. At 8 o'clock arrived Ruth. At 6 o'clock arrived James. >. James did not show up the time just before [ 9 o'clock ]\n< At 3 o'clock arrived Mary. At 10 o'clock arrived Mary. At 11 o'clock arrived Michael. >. Mary did not show up the time just before [ 12 o'clock ]\n< In 2014 arrived Sharon. In 2013 arrived Steven. In 2018 arrived Sharon. >. Sharon did not show up the year just before [ 2014 ]\n< In 2011 arrived Helen. In 2013 arrived George. In 2018 arrived Helen. >. Helen did not show up the year just before [ 2014 ]\n"}
{"task_id": "task49", "texts": "\n< In February arrived James. In September arrived Linda. In March arrived Linda. >. Linda did not arrive the month just before March\n< In 2018 arrived Elizabeth. In 2014 arrived Elizabeth. In 2017 arrived Kenneth. >. Elizabeth did not arrive the year just before 2018\n< At 5 o'clock arrived Mark. At 1 o'clock arrived Mark. At 9 o'clock arrived Deborah. >. Mark did not arrive the time just before [ 10 o'clock ]\n< In 2018 arrived Charles. In 2017 arrived Patricia. In 2012 arrived Patricia. >. Patricia did not arrive the year just before [ 2019 ]\n< On Friday arrived Deborah. On Wednesday arrived Deborah. On Thursday arrived Steven. >. Deborah did not arrive the day just before [ Friday ]\n< In 2010 arrived Karen. In 2011 arrived Robert. In 2016 arrived Karen. >. Karen did not arrive the year just before [ 2012 ]\n< At 7 o'clock arrived Kenneth. At 6 o'clock arrived Patricia. At 10 o'clock arrived Patricia. >. Patricia did not arrive the time just before [ 8 o'clock ]\n< In 2013 arrived Christopher. In 2014 arrived Kimberly. In 2011 arrived Christopher. >. Christopher did not arrive the year just before [ 2015 ]\n"}
{"task_id": "task49", "texts": "\n< In March arrived Brian. In November arrived Brian. In September arrived Carol. >. Brian did not show up the month just before October\n< In 2016 arrived Ruth. In 2012 arrived Daniel. In 2018 arrived Ruth. >. Ruth did not show up the year just before 2013\n< In spring arrived Dorothy. In summer arrived Edward. In autumn arrived Edward. >. Edward did not show up the season just before [ summer ]\n< On Thursday arrived Barbara. On Wednesday arrived Jeff. On Friday arrived Jeff. >. Jeff did not show up the day just before [ Friday ]\n< In June arrived James. In January arrived Ruth. In May arrived James. >. James did not show up the month just before [ February ]\n< In 2012 arrived Dorothy. In 2010 arrived Joseph. In 2013 arrived Joseph. >. Joseph did not show up the year just before [ 2013 ]\n< On Monday arrived John. On Tuesday arrived John. On Thursday arrived Laura. >. John did not show up the day just before [ Friday ]\n< In autumn arrived Edward. In spring arrived Edward. In summer arrived Sharon. >. Edward did not show up the season just before [ autumn ]\n"}
{"task_id": "task49", "texts": "\n< In 2010 arrived Jeff. In 2013 arrived Elizabeth. In 2015 arrived Jeff. >. Jeff did not show up the year just before 2014\n< In summer arrived Kimberly. In autumn arrived Kimberly. In spring arrived Anthony. >. Kimberly did not show up the season just before summer\n< On Wednesday arrived Ronald. On Tuesday arrived Laura. On Friday arrived Laura. >. Laura did not show up the day just before [ Thursday ]\n< In August arrived Helen. In April arrived Christopher. In June arrived Christopher. >. Christopher did not show up the month just before [ September ]\n< At 4 o'clock arrived Mary. At 1 o'clock arrived Mary. At 8 o'clock arrived Kenneth. >. Mary did not show up the time just before [ 9 o'clock ]\n< In 2012 arrived Steven. In 2013 arrived Lisa. In 2014 arrived Steven. >. Steven did not show up the year just before [ 2014 ]\n< On Tuesday arrived Laura. On Wednesday arrived Laura. On Monday arrived Kenneth. >. Laura did not show up the day just before [ Tuesday ]\n< In February arrived George. In September arrived Michelle. In August arrived George. >. George did not show up the month just before [ October ]\n"}
{"task_id": "task49", "texts": "\n< In 2012 arrived John. In 2010 arrived John. In 2018 arrived Elizabeth. >. John did not arrive the year just before 2019\n< In spring arrived Nancy. In summer arrived Paul. In autumn arrived Paul. >. Paul did not arrive the season just before summer\n< On Tuesday arrived Patricia. On Wednesday arrived Robert. On Monday arrived Robert. >. Robert did not arrive the day just before [ Wednesday ]\n< In summer arrived Betty. In spring arrived Kevin. In autumn arrived Kevin. >. Kevin did not arrive the season just before [ autumn ]\n< On Friday arrived Paul. On Monday arrived Kimberly. On Thursday arrived Paul. >. Paul did not arrive the day just before [ Tuesday ]\n< On Friday arrived Mark. On Thursday arrived Sarah. On Tuesday arrived Mark. >. Mark did not arrive the day just before [ Friday ]\n< In spring arrived Charles. In summer arrived Nancy. In autumn arrived Nancy. >. Nancy did not arrive the season just before [ summer ]\n< On Thursday arrived Kenneth. On Friday arrived Kenneth. On Tuesday arrived Jennifer. >. Kenneth did not arrive the day just before [ Wednesday ]\n"}
{"task_id": "task49", "texts": "\n< At 2 o'clock arrived George. At 10 o'clock arrived Nancy. At 11 o'clock arrived George. >. George did not show up the time just before 11 o'clock\n< On Friday arrived Edward. On Monday arrived Edward. On Wednesday arrived Carol. >. Edward did not show up the day just before Thursday\n< In spring arrived Patricia. In autumn arrived Patricia. In summer arrived David. >. Patricia did not show up the season just before [ autumn ]\n< In 2010 arrived Jeff. In 2016 arrived Helen. In 2017 arrived Helen. >. Helen did not show up the year just before [ 2011 ]\n< On Monday arrived Lisa. On Tuesday arrived Kenneth. On Wednesday arrived Kenneth. >. Kenneth did not show up the day just before [ Tuesday ]\n< In 2013 arrived Mary. In 2010 arrived Mark. In 2015 arrived Mary. >. Mary did not show up the year just before [ 2011 ]\n< In July arrived Paul. In March arrived Lisa. In September arrived Lisa. >. Lisa did not show up the month just before [ August ]\n< At 5 o'clock arrived Dorothy. At 9 o'clock arrived Dorothy. At 10 o'clock arrived Steven. >. Dorothy did not show up the time just before [ 11 o'clock ]\n"}
{"task_id": "task49", "texts": "\n< On Monday arrived Kevin. On Friday arrived Kimberly. On Wednesday arrived Kimberly. >. Kimberly did not show up the day just before Tuesday\n< In November arrived Nancy. In September arrived Nancy. In January arrived Brian. >. Nancy did not show up the month just before February\n< In August arrived Brian. In June arrived Brian. In October arrived Karen. >. Brian did not show up the month just before [ November ]\n< In 2014 arrived Karen. In 2011 arrived Brian. In 2010 arrived Brian. >. Brian did not show up the year just before [ 2015 ]\n< In 2014 arrived Daniel. In 2015 arrived Daniel. In 2017 arrived Donna. >. Daniel did not show up the year just before [ 2018 ]\n< At 7 o'clock arrived Sandra. At 3 o'clock arrived Sandra. At 2 o'clock arrived John. >. Sandra did not show up the time just before [ 3 o'clock ]\n< In January arrived Nancy. In March arrived Daniel. In September arrived Nancy. >. Nancy did not show up the month just before [ April ]\n< In 2018 arrived John. In 2017 arrived Lisa. In 2016 arrived John. >. John did not show up the year just before [ 2018 ]\n"}
{"task_id": "task49", "texts": "\n< On Friday arrived Deborah. On Monday arrived Ronald. On Wednesday arrived Deborah. >. Deborah did not show up the day just before Tuesday\n< In March arrived Donna. In April arrived Anthony. In June arrived Donna. >. Donna did not show up the month just before May\n< On Monday arrived Betty. On Wednesday arrived Jason. On Friday arrived Betty. >. Betty did not show up the day just before [ Thursday ]\n< In 2017 arrived Jason. In 2013 arrived Jennifer. In 2014 arrived Jennifer. >. Jennifer did not show up the year just before [ 2018 ]\n< At 7 o'clock arrived David. At 4 o'clock arrived Kimberly. At 9 o'clock arrived Kimberly. >. Kimberly did not show up the time just before [ 8 o'clock ]\n< In September arrived Ronald. In April arrived Mary. In June arrived Mary. >. Mary did not show up the month just before [ October ]\n< On Tuesday arrived Anthony. On Monday arrived Anthony. On Thursday arrived Sandra. >. Anthony did not show up the day just before [ Friday ]\n< In autumn arrived Nancy. In spring arrived Nancy. In summer arrived Kevin. >. Nancy did not show up the season just before [ autumn ]\n"}
{"task_id": "task49", "texts": "\n< In August arrived Laura. In March arrived James. In July arrived Laura. >. Laura did not arrive the month just before April\n< In 2017 arrived Linda. In 2014 arrived Richard. In 2015 arrived Linda. >. Linda did not arrive the year just before 2015\n< On Tuesday arrived Richard. On Monday arrived Richard. On Friday arrived Karen. >. Richard did not arrive the day just before [ Saturday ]\n< On Thursday arrived Robert. On Friday arrived Elizabeth. On Tuesday arrived Elizabeth. >. Elizabeth did not arrive the day just before [ Friday ]\n< In 2016 arrived Thomas. In 2017 arrived Margaret. In 2018 arrived Thomas. >. Thomas did not arrive the year just before [ 2018 ]\n< In autumn arrived Anthony. In summer arrived Karen. In spring arrived Karen. >. Karen did not arrive the season just before [ winter ]\n< On Monday arrived Donna. On Tuesday arrived Donna. On Thursday arrived William. >. Donna did not arrive the day just before [ Friday ]\n< In October arrived Jennifer. In April arrived Ronald. In September arrived Jennifer. >. Jennifer did not arrive the month just before [ May ]\n"}
{"task_id": "task49", "texts": "\n< At 9 o'clock arrived Christopher. At 2 o'clock arrived Carol. At 3 o'clock arrived Christopher. >. Christopher did not show up the time just before 3 o'clock\n< On Friday arrived Deborah. On Tuesday arrived Deborah. On Thursday arrived William. >. Deborah did not show up the day just before Friday\n< In September arrived Patricia. In January arrived Daniel. In April arrived Daniel. >. Daniel did not show up the month just before [ October ]\n< In 2015 arrived Nancy. In 2014 arrived Jeff. In 2011 arrived Jeff. >. Jeff did not show up the year just before [ 2016 ]\n< In 2010 arrived Deborah. In 2011 arrived James. In 2014 arrived Deborah. >. Deborah did not show up the year just before [ 2012 ]\n< In summer arrived Sandra. In autumn arrived Sandra. In spring arrived Daniel. >. Sandra did not show up the season just before [ summer ]\n< On Wednesday arrived Joseph. On Monday arrived Betty. On Thursday arrived Betty. >. Betty did not show up the day just before [ Thursday ]\n< At 11 o'clock arrived Donald. At 9 o'clock arrived Elizabeth. At 7 o'clock arrived Donald. >. Donald did not show up the time just before [ 10 o'clock ]\n"}
{"task_id": "task49", "texts": "\n< In summer arrived Lisa. In spring arrived Lisa. In autumn arrived John. >. Lisa did not appear the season just before winter\n< On Thursday arrived Helen. On Monday arrived Jeff. On Wednesday arrived Jeff. >. Jeff did not appear the day just before Friday\n< In August arrived Sharon. In September arrived Sharon. In February arrived Kenneth. >. Sharon did not appear the month just before [ March ]\n< In January arrived Linda. In May arrived Linda. In June arrived Christopher. >. Linda did not appear the month just before [ July ]\n< In 2015 arrived Donna. In 2013 arrived Donna. In 2012 arrived John. >. Donna did not appear the year just before [ 2013 ]\n< On Wednesday arrived Lisa. On Thursday arrived Kenneth. On Tuesday arrived Lisa. >. Lisa did not appear the day just before [ Friday ]\n< In spring arrived Richard. In summer arrived Michelle. In autumn arrived Richard. >. Richard did not appear the season just before [ autumn ]\n< In August arrived Kimberly. In March arrived William. In July arrived William. >. William did not appear the month just before [ September ]\n"}
{"task_id": "task50", "texts": "\n< John arrived in 2013. David arrived in 2016. Christopher arrived in 2014. >. John appeared the year just before 2014\n< Lisa arrived at 2 o'clock. Kimberly arrived at 7 o'clock. Sharon arrived at 3 o'clock. >. Sharon appeared the time just before 4 o'clock\n< Christopher arrived in October. Carol arrived in July. Helen arrived in May. >. Carol appeared the month just before [ August ]\n< John arrived at 6 o'clock. Betty arrived at 7 o'clock. Edward arrived at 9 o'clock. >. Betty appeared the time just before [ 8 o'clock ]\n< Carol arrived in August. Barbara arrived in June. Kimberly arrived in March. >. Kimberly appeared the month just before [ April ]\n< Mark arrived at 8 o'clock. Ronald arrived at 9 o'clock. William arrived at 4 o'clock. >. William appeared the time just before [ 5 o'clock ]\n< Sharon arrived in 2012. Carol arrived in 2014. Laura arrived in 2015. >. Laura appeared the year just before [ 2016 ]\n< Barbara arrived on Thursday. Kimberly arrived on Wednesday. Lisa arrived on Friday. >. Barbara appeared the day just before [ Friday ]\n"}
{"task_id": "task50", "texts": "\n< Nancy arrived at 9 o'clock. Deborah arrived at 4 o'clock. Dorothy arrived at 11 o'clock. >. Dorothy appeared the time just before 12 o'clock\n< William arrived in 2013. David arrived in 2014. Daniel arrived in 2015. >. William appeared the year just before 2014\n< Sharon arrived at 5 o'clock. Betty arrived at 10 o'clock. Kenneth arrived at 4 o'clock. >. Sharon appeared the time just before [ 6 o'clock ]\n< Daniel arrived in spring. Donna arrived in summer. Michael arrived in autumn. >. Donna appeared the season just before [ autumn ]\n< Ronald arrived on Thursday. John arrived on Wednesday. Donald arrived on Tuesday. >. Ronald appeared the day just before [ Friday ]\n< Richard arrived on Thursday. Sandra arrived on Wednesday. Ruth arrived on Monday. >. Richard appeared the day just before [ Friday ]\n< Linda arrived at 9 o'clock. Michael arrived at 7 o'clock. Paul arrived at 5 o'clock. >. Michael appeared the time just before [ 8 o'clock ]\n< Deborah arrived at 4 o'clock. John arrived at 9 o'clock. Margaret arrived at 7 o'clock. >. Margaret appeared the time just before [ 8 o'clock ]\n"}
{"task_id": "task50", "texts": "\n< Jason arrived in spring. Kevin arrived in summer. Anthony arrived in autumn. >. Anthony showed up the season just before winter\n< Ronald arrived on Friday. Kimberly arrived on Monday. Joseph arrived on Wednesday. >. Ronald showed up the day just before Saturday\n< Mark arrived in June. Steven arrived in November. Joseph arrived in August. >. Steven showed up the month just before [ December ]\n< Laura arrived at 2 o'clock. Nancy arrived at 7 o'clock. Joseph arrived at 6 o'clock. >. Laura showed up the time just before [ 3 o'clock ]\n< Linda arrived in 2010. Margaret arrived in 2012. Ruth arrived in 2011. >. Margaret showed up the year just before [ 2013 ]\n< Nancy arrived in January. Donna arrived in June. Steven arrived in February. >. Steven showed up the month just before [ March ]\n< Linda arrived on Wednesday. Helen arrived on Monday. Elizabeth arrived on Thursday. >. Helen showed up the day just before [ Tuesday ]\n< William arrived in summer. Jeff arrived in autumn. Kenneth arrived in spring. >. Kenneth showed up the season just before [ summer ]\n"}
{"task_id": "task50", "texts": "\n< Elizabeth arrived on Tuesday. Richard arrived on Friday. Mark arrived on Thursday. >. Mark showed up the day just before Friday\n< Thomas arrived at 8 o'clock. Mary arrived at 10 o'clock. Betty arrived at 5 o'clock. >. Betty showed up the time just before 6 o'clock\n< Richard arrived on Tuesday. Christopher arrived on Monday. Karen arrived on Wednesday. >. Karen showed up the day just before [ Thursday ]\n< Donna arrived at 10 o'clock. Lisa arrived at 5 o'clock. Brian arrived at 2 o'clock. >. Donna showed up the time just before [ 11 o'clock ]\n< Jennifer arrived in September. Linda arrived in October. Paul arrived in July. >. Linda showed up the month just before [ November ]\n< Michelle arrived in spring. Sandra arrived in summer. Karen arrived in autumn. >. Karen showed up the season just before [ winter ]\n< Kevin arrived in August. David arrived in July. Anthony arrived in September. >. Kevin showed up the month just before [ September ]\n< Richard arrived on Thursday. Anthony arrived on Tuesday. Deborah arrived on Monday. >. Anthony showed up the day just before [ Wednesday ]\n"}
{"task_id": "task50", "texts": "\n< Kimberly arrived in 2010. Richard arrived in 2017. Elizabeth arrived in 2016. >. Kimberly arrived the year just before 2011\n< Jennifer arrived at 3 o'clock. Sandra arrived at 10 o'clock. Richard arrived at 4 o'clock. >. Jennifer arrived the time just before 4 o'clock\n< John arrived in 2012. Mark arrived in 2013. Michael arrived in 2017. >. Mark arrived the year just before [ 2014 ]\n< Donald arrived in summer. Steven arrived in autumn. Mark arrived in spring. >. Steven arrived the season just before [ winter ]\n< Margaret arrived in spring. Sandra arrived in summer. David arrived in autumn. >. Margaret arrived the season just before [ summer ]\n< Donald arrived in spring. Kimberly arrived in autumn. Helen arrived in summer. >. Helen arrived the season just before [ autumn ]\n< Edward arrived on Wednesday. Helen arrived on Friday. Steven arrived on Tuesday. >. Steven arrived the day just before [ Wednesday ]\n< Christopher arrived in February. Jason arrived in June. Susan arrived in November. >. Christopher arrived the month just before [ March ]\n"}
{"task_id": "task50", "texts": "\n< Margaret arrived in June. Sandra arrived in September. Sarah arrived in May. >. Sarah showed up the month just before June\n< Jason arrived on Monday. Susan arrived on Tuesday. Lisa arrived on Thursday. >. Jason showed up the day just before Tuesday\n< Elizabeth arrived in 2017. Patricia arrived in 2011. Jennifer arrived in 2016. >. Elizabeth showed up the year just before [ 2018 ]\n< Nancy arrived in March. James arrived in October. Edward arrived in September. >. Nancy showed up the month just before [ April ]\n< Elizabeth arrived in autumn. William arrived in summer. Michael arrived in spring. >. William showed up the season just before [ autumn ]\n< Donna arrived in autumn. Christopher arrived in summer. Carol arrived in spring. >. Christopher showed up the season just before [ autumn ]\n< Barbara arrived at 9 o'clock. Thomas arrived at 7 o'clock. Patricia arrived at 6 o'clock. >. Patricia showed up the time just before [ 7 o'clock ]\n< Helen arrived on Tuesday. Richard arrived on Friday. Lisa arrived on Monday. >. Helen showed up the day just before [ Wednesday ]\n"}
{"task_id": "task50", "texts": "\n< Barbara arrived on Friday. Robert arrived on Thursday. John arrived on Tuesday. >. Robert appeared the day just before Friday\n< Edward arrived in autumn. Michelle arrived in spring. Ronald arrived in summer. >. Edward appeared the season just before winter\n< Brian arrived at 2 o'clock. Michael arrived at 1 o'clock. Karen arrived at 6 o'clock. >. Michael appeared the time just before [ 2 o'clock ]\n< Donald arrived in 2011. Margaret arrived in 2015. Paul arrived in 2017. >. Donald appeared the year just before [ 2012 ]\n< John arrived on Tuesday. Sharon arrived on Friday. Thomas arrived on Thursday. >. John appeared the day just before [ Wednesday ]\n< Michelle arrived in July. Daniel arrived in October. Helen arrived in April. >. Helen appeared the month just before [ May ]\n< Jeff arrived in 2013. Daniel arrived in 2015. Kimberly arrived in 2018. >. Daniel appeared the year just before [ 2016 ]\n< Elizabeth arrived at 1 o'clock. Jason arrived at 6 o'clock. Barbara arrived at 3 o'clock. >. Barbara appeared the time just before [ 4 o'clock ]\n"}
{"task_id": "task50", "texts": "\n< David arrived in spring. Helen arrived in summer. Lisa arrived in autumn. >. Helen appeared the season just before autumn\n< Robert arrived in February. Jeff arrived in November. Elizabeth arrived in August. >. Robert appeared the month just before March\n< Donna arrived on Monday. Thomas arrived on Wednesday. Ronald arrived on Tuesday. >. Thomas appeared the day just before [ Thursday ]\n< Betty arrived on Wednesday. Deborah arrived on Friday. Carol arrived on Thursday. >. Carol appeared the day just before [ Friday ]\n< Jason arrived at 9 o'clock. Margaret arrived at 5 o'clock. Patricia arrived at 6 o'clock. >. Patricia appeared the time just before [ 7 o'clock ]\n< Barbara arrived in August. Ronald arrived in October. Sarah arrived in April. >. Ronald appeared the month just before [ November ]\n< Sandra arrived at 1 o'clock. Dorothy arrived at 11 o'clock. Thomas arrived at 9 o'clock. >. Sandra appeared the time just before [ 2 o'clock ]\n< Kimberly arrived in summer. Jennifer arrived in spring. Sarah arrived in autumn. >. Jennifer appeared the season just before [ summer ]\n"}
{"task_id": "task50", "texts": "\n< Margaret arrived at 1 o'clock. Donna arrived at 7 o'clock. Maria arrived at 5 o'clock. >. Maria showed up the time just before 6 o'clock\n< Linda arrived in 2012. Brian arrived in 2017. Laura arrived in 2016. >. Brian showed up the year just before 2018\n< Michael arrived in January. Carol arrived in October. Sharon arrived in July. >. Michael showed up the month just before [ February ]\n< Kenneth arrived on Tuesday. Dorothy arrived on Wednesday. Patricia arrived on Monday. >. Kenneth showed up the day just before [ Wednesday ]\n< Patricia arrived in 2015. Deborah arrived in 2012. Christopher arrived in 2016. >. Patricia showed up the year just before [ 2016 ]\n< Charles arrived in spring. Jeff arrived in autumn. Nancy arrived in summer. >. Jeff showed up the season just before [ winter ]\n< John arrived in 2011. Edward arrived in 2014. Richard arrived in 2017. >. Edward showed up the year just before [ 2015 ]\n< Margaret arrived in September. Mark arrived in June. Sarah arrived in November. >. Sarah showed up the month just before [ December ]\n"}
{"task_id": "task50", "texts": "\n< Donald arrived in spring. George arrived in summer. Linda arrived in autumn. >. Donald arrived the season just before summer\n< Kimberly arrived in summer. John arrived in autumn. Jeff arrived in spring. >. Jeff arrived the season just before summer\n< Jeff arrived in autumn. Laura arrived in spring. Ruth arrived in summer. >. Ruth arrived the season just before [ autumn ]\n< Steven arrived in 2012. Deborah arrived in 2010. Michael arrived in 2011. >. Deborah arrived the year just before [ 2011 ]\n< Steven arrived in 2015. Donna arrived in 2012. Kenneth arrived in 2013. >. Steven arrived the year just before [ 2016 ]\n< Kimberly arrived in October. George arrived in January. Margaret arrived in August. >. George arrived the month just before [ February ]\n< Linda arrived in September. Jeff arrived in April. Deborah arrived in March. >. Jeff arrived the month just before [ May ]\n< Steven arrived in spring. Michael arrived in summer. Donald arrived in autumn. >. Michael arrived the season just before [ autumn ]\n"}
{"task_id": "task50", "texts": "\n< Kimberly arrived at 10 o'clock. John arrived at 9 o'clock. Maria arrived at 1 o'clock. >. Kimberly showed up the time just before 11 o'clock\n< Edward arrived in March. Christopher arrived in June. Kimberly arrived in April. >. Christopher showed up the month just before July\n< Kimberly arrived in 2016. Linda arrived in 2010. Michael arrived in 2012. >. Michael showed up the year just before [ 2013 ]\n< David arrived in October. William arrived in June. Carol arrived in August. >. Carol showed up the month just before [ September ]\n< Elizabeth arrived at 3 o'clock. Deborah arrived at 5 o'clock. Michael arrived at 8 o'clock. >. Deborah showed up the time just before [ 6 o'clock ]\n< Michelle arrived at 4 o'clock. Jeff arrived at 8 o'clock. James arrived at 3 o'clock. >. James showed up the time just before [ 4 o'clock ]\n< Donald arrived at 5 o'clock. Sarah arrived at 8 o'clock. William arrived at 2 o'clock. >. Donald showed up the time just before [ 6 o'clock ]\n< Edward arrived on Wednesday. Kenneth arrived on Monday. William arrived on Friday. >. Kenneth showed up the day just before [ Tuesday ]\n"}
{"task_id": "task50", "texts": "\n< Donald arrived at 11 o'clock. Sandra arrived at 4 o'clock. John arrived at 7 o'clock. >. Sandra appeared the time just before 5 o'clock\n< Brian arrived on Friday. Karen arrived on Thursday. Steven arrived on Wednesday. >. Steven appeared the day just before Thursday\n< Mark arrived at 6 o'clock. Elizabeth arrived at 8 o'clock. Kenneth arrived at 9 o'clock. >. Mark appeared the time just before [ 7 o'clock ]\n< Margaret arrived in summer. Sandra arrived in autumn. John arrived in spring. >. Sandra appeared the season just before [ winter ]\n< Laura arrived in spring. Barbara arrived in summer. Ronald arrived in autumn. >. Barbara appeared the season just before [ autumn ]\n< Deborah arrived in 2018. Maria arrived in 2011. Kimberly arrived in 2010. >. Maria appeared the year just before [ 2012 ]\n< William arrived in summer. Betty arrived in autumn. Paul arrived in spring. >. Paul appeared the season just before [ summer ]\n< Dorothy arrived in January. Lisa arrived in September. Margaret arrived in March. >. Dorothy appeared the month just before [ February ]\n"}
{"task_id": "task51", "texts": "\n< In 2013 arrived John. In 2016 arrived David. In 2014 arrived Christopher. >. John appeared the year just before 2014\n< At 2 o'clock arrived Lisa. At 7 o'clock arrived Kimberly. At 3 o'clock arrived Sharon. >. Sharon appeared the time just before 4 o'clock\n< In October arrived Christopher. In July arrived Carol. In May arrived Helen. >. Carol appeared the month just before [ August ]\n< At 6 o'clock arrived John. At 7 o'clock arrived Betty. At 9 o'clock arrived Edward. >. Betty appeared the time just before [ 8 o'clock ]\n< In August arrived Carol. In June arrived Barbara. In March arrived Kimberly. >. Kimberly appeared the month just before [ April ]\n< At 8 o'clock arrived Mark. At 9 o'clock arrived Ronald. At 4 o'clock arrived William. >. William appeared the time just before [ 5 o'clock ]\n< In 2012 arrived Sharon. In 2014 arrived Carol. In 2015 arrived Laura. >. Laura appeared the year just before [ 2016 ]\n< On Thursday arrived Barbara. On Wednesday arrived Kimberly. On Friday arrived Lisa. >. Barbara appeared the day just before [ Friday ]\n"}
{"task_id": "task51", "texts": "\n< At 9 o'clock arrived Nancy. At 4 o'clock arrived Deborah. At 11 o'clock arrived Dorothy. >. Dorothy appeared the time just before 12 o'clock\n< In 2013 arrived William. In 2014 arrived David. In 2015 arrived Daniel. >. William appeared the year just before 2014\n< At 5 o'clock arrived Sharon. At 10 o'clock arrived Betty. At 4 o'clock arrived Kenneth. >. Sharon appeared the time just before [ 6 o'clock ]\n< In spring arrived Daniel. In summer arrived Donna. In autumn arrived Michael. >. Donna appeared the season just before [ autumn ]\n< On Thursday arrived Ronald. On Wednesday arrived John. On Tuesday arrived Donald. >. Ronald appeared the day just before [ Friday ]\n< On Thursday arrived Richard. On Wednesday arrived Sandra. On Monday arrived Ruth. >. Richard appeared the day just before [ Friday ]\n< At 9 o'clock arrived Linda. At 7 o'clock arrived Michael. At 5 o'clock arrived Paul. >. Michael appeared the time just before [ 8 o'clock ]\n< At 4 o'clock arrived Deborah. At 9 o'clock arrived John. At 7 o'clock arrived Margaret. >. Margaret appeared the time just before [ 8 o'clock ]\n"}
{"task_id": "task51", "texts": "\n< In spring arrived Jason. In summer arrived Kevin. In autumn arrived Anthony. >. Anthony showed up the season just before winter\n< On Friday arrived Ronald. On Monday arrived Kimberly. On Wednesday arrived Joseph. >. Ronald showed up the day just before Saturday\n< In June arrived Mark. In November arrived Steven. In August arrived Joseph. >. Steven showed up the month just before [ December ]\n< At 2 o'clock arrived Laura. At 7 o'clock arrived Nancy. At 6 o'clock arrived Joseph. >. Laura showed up the time just before [ 3 o'clock ]\n< In 2010 arrived Linda. In 2012 arrived Margaret. In 2011 arrived Ruth. >. Margaret showed up the year just before [ 2013 ]\n< In January arrived Nancy. In June arrived Donna. In February arrived Steven. >. Steven showed up the month just before [ March ]\n< On Wednesday arrived Linda. On Monday arrived Helen. On Thursday arrived Elizabeth. >. Helen showed up the day just before [ Tuesday ]\n< In summer arrived William. In autumn arrived Jeff. In spring arrived Kenneth. >. Kenneth showed up the season just before [ summer ]\n"}
{"task_id": "task51", "texts": "\n< On Tuesday arrived Elizabeth. On Friday arrived Richard. On Thursday arrived Mark. >. Mark showed up the day just before Friday\n< At 8 o'clock arrived Thomas. At 10 o'clock arrived Mary. At 5 o'clock arrived Betty. >. Betty showed up the time just before 6 o'clock\n< On Tuesday arrived Richard. On Monday arrived Christopher. On Wednesday arrived Karen. >. Karen showed up the day just before [ Thursday ]\n< At 10 o'clock arrived Donna. At 5 o'clock arrived Lisa. At 2 o'clock arrived Brian. >. Donna showed up the time just before [ 11 o'clock ]\n< In September arrived Jennifer. In October arrived Linda. In July arrived Paul. >. Linda showed up the month just before [ November ]\n< In spring arrived Michelle. In summer arrived Sandra. In autumn arrived Karen. >. Karen showed up the season just before [ winter ]\n< In August arrived Kevin. In July arrived David. In September arrived Anthony. >. Kevin showed up the month just before [ September ]\n< On Thursday arrived Richard. On Tuesday arrived Anthony. On Monday arrived Deborah. >. Anthony showed up the day just before [ Wednesday ]\n"}
{"task_id": "task51", "texts": "\n< In 2010 arrived Kimberly. In 2017 arrived Richard. In 2016 arrived Elizabeth. >. Kimberly arrived the year just before 2011\n< At 3 o'clock arrived Jennifer. At 10 o'clock arrived Sandra. At 4 o'clock arrived Richard. >. Jennifer arrived the time just before 4 o'clock\n< In 2012 arrived John. In 2013 arrived Mark. In 2017 arrived Michael. >. Mark arrived the year just before [ 2014 ]\n< In summer arrived Donald. In autumn arrived Steven. In spring arrived Mark. >. Steven arrived the season just before [ winter ]\n< In spring arrived Margaret. In summer arrived Sandra. In autumn arrived David. >. Margaret arrived the season just before [ summer ]\n< In spring arrived Donald. In autumn arrived Kimberly. In summer arrived Helen. >. Helen arrived the season just before [ autumn ]\n< On Wednesday arrived Edward. On Friday arrived Helen. On Tuesday arrived Steven. >. Steven arrived the day just before [ Wednesday ]\n< In February arrived Christopher. In June arrived Jason. In November arrived Susan. >. Christopher arrived the month just before [ March ]\n"}
{"task_id": "task51", "texts": "\n< In June arrived Margaret. In September arrived Sandra. In May arrived Sarah. >. Sarah showed up the month just before June\n< On Monday arrived Jason. On Tuesday arrived Susan. On Thursday arrived Lisa. >. Jason showed up the day just before Tuesday\n< In 2017 arrived Elizabeth. In 2011 arrived Patricia. In 2016 arrived Jennifer. >. Elizabeth showed up the year just before [ 2018 ]\n< In March arrived Nancy. In October arrived James. In September arrived Edward. >. Nancy showed up the month just before [ April ]\n< In autumn arrived Elizabeth. In summer arrived William. In spring arrived Michael. >. William showed up the season just before [ autumn ]\n< In autumn arrived Donna. In summer arrived Christopher. In spring arrived Carol. >. Christopher showed up the season just before [ autumn ]\n< At 9 o'clock arrived Barbara. At 7 o'clock arrived Thomas. At 6 o'clock arrived Patricia. >. Patricia showed up the time just before [ 7 o'clock ]\n< On Tuesday arrived Helen. On Friday arrived Richard. On Monday arrived Lisa. >. Helen showed up the day just before [ Wednesday ]\n"}
{"task_id": "task51", "texts": "\n< On Friday arrived Barbara. On Thursday arrived Robert. On Tuesday arrived John. >. Robert appeared the day just before Friday\n< In autumn arrived Edward. In spring arrived Michelle. In summer arrived Ronald. >. Edward appeared the season just before winter\n< At 2 o'clock arrived Brian. At 1 o'clock arrived Michael. At 6 o'clock arrived Karen. >. Michael appeared the time just before [ 2 o'clock ]\n< In 2011 arrived Donald. In 2015 arrived Margaret. In 2017 arrived Paul. >. Donald appeared the year just before [ 2012 ]\n< On Tuesday arrived John. On Friday arrived Sharon. On Thursday arrived Thomas. >. John appeared the day just before [ Wednesday ]\n< In July arrived Michelle. In October arrived Daniel. In April arrived Helen. >. Helen appeared the month just before [ May ]\n< In 2013 arrived Jeff. In 2015 arrived Daniel. In 2018 arrived Kimberly. >. Daniel appeared the year just before [ 2016 ]\n< At 1 o'clock arrived Elizabeth. At 6 o'clock arrived Jason. At 3 o'clock arrived Barbara. >. Barbara appeared the time just before [ 4 o'clock ]\n"}
{"task_id": "task51", "texts": "\n< In spring arrived David. In summer arrived Helen. In autumn arrived Lisa. >. Helen appeared the season just before autumn\n< In February arrived Robert. In November arrived Jeff. In August arrived Elizabeth. >. Robert appeared the month just before March\n< On Monday arrived Donna. On Wednesday arrived Thomas. On Tuesday arrived Ronald. >. Thomas appeared the day just before [ Thursday ]\n< On Wednesday arrived Betty. On Friday arrived Deborah. On Thursday arrived Carol. >. Carol appeared the day just before [ Friday ]\n< At 9 o'clock arrived Jason. At 5 o'clock arrived Margaret. At 6 o'clock arrived Patricia. >. Patricia appeared the time just before [ 7 o'clock ]\n< In August arrived Barbara. In October arrived Ronald. In April arrived Sarah. >. Ronald appeared the month just before [ November ]\n< At 1 o'clock arrived Sandra. At 11 o'clock arrived Dorothy. At 9 o'clock arrived Thomas. >. Sandra appeared the time just before [ 2 o'clock ]\n< In summer arrived Kimberly. In spring arrived Jennifer. In autumn arrived Sarah. >. Jennifer appeared the season just before [ summer ]\n"}
{"task_id": "task51", "texts": "\n< At 1 o'clock arrived Margaret. At 7 o'clock arrived Donna. At 5 o'clock arrived Maria. >. Maria showed up the time just before 6 o'clock\n< In 2012 arrived Linda. In 2017 arrived Brian. In 2016 arrived Laura. >. Brian showed up the year just before 2018\n< In January arrived Michael. In October arrived Carol. In July arrived Sharon. >. Michael showed up the month just before [ February ]\n< On Tuesday arrived Kenneth. On Wednesday arrived Dorothy. On Monday arrived Patricia. >. Kenneth showed up the day just before [ Wednesday ]\n< In 2015 arrived Patricia. In 2012 arrived Deborah. In 2016 arrived Christopher. >. Patricia showed up the year just before [ 2016 ]\n< In spring arrived Charles. In autumn arrived Jeff. In summer arrived Nancy. >. Jeff showed up the season just before [ winter ]\n< In 2011 arrived John. In 2014 arrived Edward. In 2017 arrived Richard. >. Edward showed up the year just before [ 2015 ]\n< In September arrived Margaret. In June arrived Mark. In November arrived Sarah. >. Sarah showed up the month just before [ December ]\n"}
{"task_id": "task51", "texts": "\n< In spring arrived Donald. In summer arrived George. In autumn arrived Linda. >. Donald arrived the season just before summer\n< In summer arrived Kimberly. In autumn arrived John. In spring arrived Jeff. >. Jeff arrived the season just before summer\n< In autumn arrived Jeff. In spring arrived Laura. In summer arrived Ruth. >. Ruth arrived the season just before [ autumn ]\n< In 2012 arrived Steven. In 2010 arrived Deborah. In 2011 arrived Michael. >. Deborah arrived the year just before [ 2011 ]\n< In 2015 arrived Steven. In 2012 arrived Donna. In 2013 arrived Kenneth. >. Steven arrived the year just before [ 2016 ]\n< In October arrived Kimberly. In January arrived George. In August arrived Margaret. >. George arrived the month just before [ February ]\n< In September arrived Linda. In April arrived Jeff. In March arrived Deborah. >. Jeff arrived the month just before [ May ]\n< In spring arrived Steven. In summer arrived Michael. In autumn arrived Donald. >. Michael arrived the season just before [ autumn ]\n"}
{"task_id": "task51", "texts": "\n< At 10 o'clock arrived Kimberly. At 9 o'clock arrived John. At 1 o'clock arrived Maria. >. Kimberly showed up the time just before 11 o'clock\n< In March arrived Edward. In June arrived Christopher. In April arrived Kimberly. >. Christopher showed up the month just before July\n< In 2016 arrived Kimberly. In 2010 arrived Linda. In 2012 arrived Michael. >. Michael showed up the year just before [ 2013 ]\n< In October arrived David. In June arrived William. In August arrived Carol. >. Carol showed up the month just before [ September ]\n< At 3 o'clock arrived Elizabeth. At 5 o'clock arrived Deborah. At 8 o'clock arrived Michael. >. Deborah showed up the time just before [ 6 o'clock ]\n< At 4 o'clock arrived Michelle. At 8 o'clock arrived Jeff. At 3 o'clock arrived James. >. James showed up the time just before [ 4 o'clock ]\n< At 5 o'clock arrived Donald. At 8 o'clock arrived Sarah. At 2 o'clock arrived William. >. Donald showed up the time just before [ 6 o'clock ]\n< On Wednesday arrived Edward. On Monday arrived Kenneth. On Friday arrived William. >. Kenneth showed up the day just before [ Tuesday ]\n"}
{"task_id": "task51", "texts": "\n< At 11 o'clock arrived Donald. At 4 o'clock arrived Sandra. At 7 o'clock arrived John. >. Sandra appeared the time just before 5 o'clock\n< On Friday arrived Brian. On Thursday arrived Karen. On Wednesday arrived Steven. >. Steven appeared the day just before Thursday\n< At 6 o'clock arrived Mark. At 8 o'clock arrived Elizabeth. At 9 o'clock arrived Kenneth. >. Mark appeared the time just before [ 7 o'clock ]\n< In summer arrived Margaret. In autumn arrived Sandra. In spring arrived John. >. Sandra appeared the season just before [ winter ]\n< In spring arrived Laura. In summer arrived Barbara. In autumn arrived Ronald. >. Barbara appeared the season just before [ autumn ]\n< In 2018 arrived Deborah. In 2011 arrived Maria. In 2010 arrived Kimberly. >. Maria appeared the year just before [ 2012 ]\n< In summer arrived William. In autumn arrived Betty. In spring arrived Paul. >. Paul appeared the season just before [ summer ]\n< In January arrived Dorothy. In September arrived Lisa. In March arrived Margaret. >. Dorothy appeared the month just before [ February ]\n"}
{"task_id": "task52", "texts": "\n< Carol arrived on Monday. Donna arrived on Thursday. Joseph arrived on Thursday. >. Who did not appear the day just before Friday? Carol\n< Michelle arrived in June. Helen arrived in February. Joseph arrived in February. >. Who did not appear the month just before March? Michelle\n< William arrived in 2013. Sarah arrived in 2013. Laura arrived in 2012. >. Who did not appear the year just before 2014? [ Laura ]\n< Nancy arrived in April. Helen arrived in April. John arrived in January. >. Who did not appear the month just before May? [ John ]\n< Laura arrived in 2015. Jason arrived in 2012. Dorothy arrived in 2012. >. Who did not appear the year just before 2013? [ Laura ]\n< Carol arrived at 4 o'clock. David arrived at 5 o'clock. Michael arrived at 4 o'clock. >. Who did not appear the time just before 5 o'clock? [ David ]\n< Mark arrived on Monday. Nancy arrived on Tuesday. Ruth arrived on Monday. >. Who did not appear the day just before Tuesday? [ Nancy ]\n< Paul arrived in 2013. Ruth arrived in 2017. Richard arrived in 2017. >. Who did not appear the year just before 2018? [ Paul ]\n"}
{"task_id": "task52", "texts": "\n< Laura arrived in 2013. Donald arrived in 2013. Susan arrived in 2011. >. Who did not show up the year just before 2014? Susan\n< Brian arrived at 9 o'clock. Dorothy arrived at 7 o'clock. Anthony arrived at 7 o'clock. >. Who did not show up the time just before 8 o'clock? Brian\n< Michael arrived in 2018. Dorothy arrived in 2017. William arrived in 2018. >. Who did not show up the year just before 2019? [ Dorothy ]\n< Maria arrived in summer. Nancy arrived in autumn. Charles arrived in autumn. >. Who did not show up the season just before winter? [ Maria ]\n< John arrived in October. Donna arrived in May. Michael arrived in October. >. Who did not show up the month just before November? [ Donna ]\n< John arrived in summer. Michael arrived in autumn. Jennifer arrived in autumn. >. Who did not show up the season just before winter? [ John ]\n< Mark arrived in autumn. Jason arrived in autumn. Donald arrived in summer. >. Who did not show up the season just before winter? [ Donald ]\n< Helen arrived in February. Edward arrived in February. Steven arrived in October. >. Who did not show up the month just before March? [ Steven ]\n"}
{"task_id": "task52", "texts": "\n< Kimberly arrived in January. Deborah arrived in January. Karen arrived in March. >. Who did not show up the month just before February? Karen\n< Barbara arrived in 2014. Patricia arrived in 2017. John arrived in 2017. >. Who did not show up the year just before 2018? Barbara\n< Susan arrived at 3 o'clock. Deborah arrived at 3 o'clock. Edward arrived at 7 o'clock. >. Who did not show up the time just before 4 o'clock? [ Edward ]\n< James arrived in February. Lisa arrived in June. Ronald arrived in June. >. Who did not show up the month just before July? [ James ]\n< Elizabeth arrived in spring. Edward arrived in summer. Nancy arrived in spring. >. Who did not show up the season just before summer? [ Edward ]\n< Kevin arrived on Monday. Patricia arrived on Wednesday. Daniel arrived on Wednesday. >. Who did not show up the day just before Thursday? [ Kevin ]\n< Susan arrived in 2014. Michael arrived in 2017. Anthony arrived in 2014. >. Who did not show up the year just before 2015? [ Michael ]\n< Helen arrived at 5 o'clock. Jason arrived at 5 o'clock. Mark arrived at 8 o'clock. >. Who did not show up the time just before 6 o'clock? [ Mark ]\n"}
{"task_id": "task52", "texts": "\n< John arrived in 2015. Patricia arrived in 2015. Paul arrived in 2010. >. Who did not arrive the year just before 2016? Paul\n< Thomas arrived on Tuesday. Karen arrived on Wednesday. Kevin arrived on Tuesday. >. Who did not arrive the day just before Wednesday? Karen\n< Betty arrived on Wednesday. Kenneth arrived on Friday. James arrived on Friday. >. Who did not arrive the day just before Saturday? [ Betty ]\n< Helen arrived at 6 o'clock. Daniel arrived at 3 o'clock. Donna arrived at 3 o'clock. >. Who did not arrive the time just before 4 o'clock? [ Helen ]\n< Dorothy arrived in 2018. Margaret arrived in 2011. Michelle arrived in 2011. >. Who did not arrive the year just before 2012? [ Dorothy ]\n< Sarah arrived in autumn. Thomas arrived in autumn. Ronald arrived in spring. >. Who did not arrive the season just before winter? [ Ronald ]\n< Michelle arrived in 2015. Elizabeth arrived in 2018. Richard arrived in 2018. >. Who did not arrive the year just before 2019? [ Michelle ]\n< Sandra arrived on Thursday. Jennifer arrived on Wednesday. William arrived on Thursday. >. Who did not arrive the day just before Friday? [ Jennifer ]\n"}
{"task_id": "task52", "texts": "\n< Mary arrived in spring. Ronald arrived in spring. Nancy arrived in summer. >. Who did not arrive the season just before summer? Nancy\n< Daniel arrived at 6 o'clock. Mary arrived at 11 o'clock. Edward arrived at 6 o'clock. >. Who did not arrive the time just before 7 o'clock? Mary\n< Richard arrived in 2015. Carol arrived in 2017. Sandra arrived in 2017. >. Who did not arrive the year just before 2018? [ Richard ]\n< Donna arrived in April. Nancy arrived in July. Laura arrived in April. >. Who did not arrive the month just before May? [ Nancy ]\n< Charles arrived on Wednesday. Deborah arrived on Monday. Betty arrived on Monday. >. Who did not arrive the day just before Tuesday? [ Charles ]\n< Maria arrived in autumn. Anthony arrived in summer. Ronald arrived in autumn. >. Who did not arrive the season just before winter? [ Anthony ]\n< George arrived in September. Sandra arrived in February. Brian arrived in September. >. Who did not arrive the month just before October? [ Sandra ]\n< Sarah arrived in 2018. William arrived in 2018. Sandra arrived in 2016. >. Who did not arrive the year just before 2019? [ Sandra ]\n"}
{"task_id": "task52", "texts": "\n< Donald arrived in spring. Thomas arrived in summer. Betty arrived in summer. >. Who did not appear the season just before autumn? Donald\n< Nancy arrived in autumn. Elizabeth arrived in autumn. Charles arrived in summer. >. Who did not appear the season just before winter? Charles\n< Edward arrived at 11 o'clock. John arrived at 7 o'clock. Richard arrived at 7 o'clock. >. Who did not appear the time just before 8 o'clock? [ Edward ]\n< Helen arrived in 2016. Sandra arrived in 2012. Donald arrived in 2016. >. Who did not appear the year just before 2017? [ Sandra ]\n< David arrived at 11 o'clock. Anthony arrived at 11 o'clock. Helen arrived at 7 o'clock. >. Who did not appear the time just before 12 o'clock? [ Helen ]\n< Sandra arrived on Wednesday. Carol arrived on Thursday. Kimberly arrived on Wednesday. >. Who did not appear the day just before Thursday? [ Carol ]\n< Margaret arrived in 2016. Daniel arrived in 2012. Michael arrived in 2012. >. Who did not appear the year just before 2013? [ Margaret ]\n< Elizabeth arrived in 2011. Nancy arrived in 2011. Steven arrived in 2015. >. Who did not appear the year just before 2012? [ Steven ]\n"}
{"task_id": "task52", "texts": "\n< Jeff arrived at 9 o'clock. Donna arrived at 9 o'clock. Robert arrived at 10 o'clock. >. Who did not arrive the time just before 10 o'clock? Robert\n< Michelle arrived on Monday. John arrived on Thursday. Barbara arrived on Thursday. >. Who did not arrive the day just before Friday? Michelle\n< Michelle arrived in 2016. William arrived in 2017. Patricia arrived in 2016. >. Who did not arrive the year just before 2017? [ William ]\n< Jason arrived on Monday. Robert arrived on Thursday. Thomas arrived on Thursday. >. Who did not arrive the day just before Friday? [ Jason ]\n< Barbara arrived at 5 o'clock. Kenneth arrived at 4 o'clock. Linda arrived at 5 o'clock. >. Who did not arrive the time just before 6 o'clock? [ Kenneth ]\n< John arrived on Wednesday. Betty arrived on Friday. Karen arrived on Friday. >. Who did not arrive the day just before Saturday? [ John ]\n< Kimberly arrived in 2010. Mary arrived in 2010. Patricia arrived in 2018. >. Who did not arrive the year just before 2011? [ Patricia ]\n< Steven arrived on Friday. Sarah arrived on Thursday. Anthony arrived on Thursday. >. Who did not arrive the day just before Friday? [ Steven ]\n"}
{"task_id": "task52", "texts": "\n< Mary arrived at 5 o'clock. Jason arrived at 5 o'clock. Richard arrived at 9 o'clock. >. Who did not appear the time just before 6 o'clock? Richard\n< Jason arrived in 2015. Maria arrived in 2015. Nancy arrived in 2013. >. Who did not appear the year just before 2016? Nancy\n< Jason arrived in 2017. George arrived in 2013. Nancy arrived in 2017. >. Who did not appear the year just before 2018? [ George ]\n< Brian arrived at 7 o'clock. Sharon arrived at 3 o'clock. Christopher arrived at 7 o'clock. >. Who did not appear the time just before 8 o'clock? [ Sharon ]\n< Deborah arrived in September. Susan arrived in September. Nancy arrived in May. >. Who did not appear the month just before October? [ Nancy ]\n< Christopher arrived in summer. Donna arrived in summer. Paul arrived in autumn. >. Who did not appear the season just before autumn? [ Paul ]\n< William arrived in summer. Robert arrived in autumn. Jennifer arrived in autumn. >. Who did not appear the season just before winter? [ William ]\n< Thomas arrived in 2018. Lisa arrived in 2014. Carol arrived in 2014. >. Who did not appear the year just before 2015? [ Thomas ]\n"}
{"task_id": "task52", "texts": "\n< David arrived in 2016. Susan arrived in 2012. Paul arrived in 2016. >. Who did not appear the year just before 2017? Susan\n< Helen arrived in spring. Elizabeth arrived in autumn. Kenneth arrived in autumn. >. Who did not appear the season just before winter? Helen\n< Linda arrived in 2016. Donald arrived in 2016. Laura arrived in 2015. >. Who did not appear the year just before 2017? [ Laura ]\n< Deborah arrived in May. Steven arrived in September. Elizabeth arrived in September. >. Who did not appear the month just before October? [ Deborah ]\n< Anthony arrived in 2014. Mary arrived in 2015. Edward arrived in 2014. >. Who did not appear the year just before 2015? [ Mary ]\n< Susan arrived in August. Elizabeth arrived in August. Paul arrived in May. >. Who did not appear the month just before September? [ Paul ]\n< Donald arrived on Monday. Richard arrived on Wednesday. Dorothy arrived on Monday. >. Who did not appear the day just before Tuesday? [ Richard ]\n< Deborah arrived at 9 o'clock. Patricia arrived at 3 o'clock. Edward arrived at 9 o'clock. >. Who did not appear the time just before 10 o'clock? [ Patricia ]\n"}
{"task_id": "task52", "texts": "\n< Kenneth arrived in autumn. Patricia arrived in spring. Karen arrived in spring. >. Who did not appear the season just before summer? Kenneth\n< Christopher arrived at 7 o'clock. Karen arrived at 5 o'clock. Lisa arrived at 7 o'clock. >. Who did not appear the time just before 8 o'clock? Karen\n< Charles arrived at 1 o'clock. Helen arrived at 8 o'clock. Betty arrived at 8 o'clock. >. Who did not appear the time just before 9 o'clock? [ Charles ]\n< Linda arrived in summer. Jennifer arrived in summer. Daniel arrived in spring. >. Who did not appear the season just before autumn? [ Daniel ]\n< Patricia arrived in August. Jeff arrived in October. Michael arrived in August. >. Who did not appear the month just before September? [ Jeff ]\n< Ronald arrived at 1 o'clock. Michael arrived at 8 o'clock. Richard arrived at 1 o'clock. >. Who did not appear the time just before 2 o'clock? [ Michael ]\n< George arrived on Monday. Deborah arrived on Monday. Laura arrived on Friday. >. Who did not appear the day just before Tuesday? [ Laura ]\n< Jennifer arrived in 2015. Betty arrived in 2013. Jason arrived in 2015. >. Who did not appear the year just before 2016? [ Betty ]\n"}
{"task_id": "task52", "texts": "\n< Deborah arrived in 2015. Charles arrived in 2015. Jason arrived in 2017. >. Who did not show up the year just before 2016? Jason\n< Michael arrived on Thursday. Linda arrived on Monday. Jeff arrived on Thursday. >. Who did not show up the day just before Friday? Linda\n< Kimberly arrived in summer. Sarah arrived in summer. Mark arrived in spring. >. Who did not show up the season just before autumn? [ Mark ]\n< Sharon arrived in spring. Steven arrived in autumn. Daniel arrived in spring. >. Who did not show up the season just before summer? [ Steven ]\n< Joseph arrived in spring. Michelle arrived in autumn. Jason arrived in spring. >. Who did not show up the season just before summer? [ Michelle ]\n< Jennifer arrived in spring. Kevin arrived in summer. Karen arrived in summer. >. Who did not show up the season just before autumn? [ Jennifer ]\n< Jeff arrived in May. Susan arrived in March. Nancy arrived in March. >. Who did not show up the month just before April? [ Jeff ]\n< Charles arrived in spring. Laura arrived in spring. Dorothy arrived in autumn. >. Who did not show up the season just before summer? [ Dorothy ]\n"}
{"task_id": "task52", "texts": "\n< Susan arrived in autumn. Carol arrived in summer. Laura arrived in summer. >. Who did not show up the season just before autumn? Susan\n< Barbara arrived on Thursday. Ruth arrived on Wednesday. Kenneth arrived on Thursday. >. Who did not show up the day just before Friday? Ruth\n< Nancy arrived in summer. Karen arrived in spring. Laura arrived in summer. >. Who did not show up the season just before autumn? [ Karen ]\n< Deborah arrived at 4 o'clock. Donald arrived at 4 o'clock. Christopher arrived at 7 o'clock. >. Who did not show up the time just before 5 o'clock? [ Christopher ]\n< Sandra arrived in April. Karen arrived in October. Brian arrived in April. >. Who did not show up the month just before May? [ Karen ]\n< Jennifer arrived in September. Helen arrived in January. Daniel arrived in January. >. Who did not show up the month just before February? [ Jennifer ]\n< Elizabeth arrived in spring. Helen arrived in spring. Richard arrived in autumn. >. Who did not show up the season just before summer? [ Richard ]\n< Ruth arrived at 1 o'clock. Michael arrived at 2 o'clock. Sharon arrived at 2 o'clock. >. Who did not show up the time just before 3 o'clock? [ Ruth ]\n"}
{"task_id": "task53", "texts": "\n< On Monday arrived Carol. On Thursday arrived Donna. On Thursday arrived Joseph. >. Who did not appear the day just before Friday? Carol\n< In June arrived Michelle. In February arrived Helen. In February arrived Joseph. >. Who did not appear the month just before March? Michelle\n< In 2013 arrived William. In 2013 arrived Sarah. In 2012 arrived Laura. >. Who did not appear the year just before 2014? [ Laura ]\n< In April arrived Nancy. In April arrived Helen. In January arrived John. >. Who did not appear the month just before May? [ John ]\n< In 2015 arrived Laura. In 2012 arrived Jason. In 2012 arrived Dorothy. >. Who did not appear the year just before 2013? [ Laura ]\n< At 4 o'clock arrived Carol. At 5 o'clock arrived David. At 4 o'clock arrived Michael. >. Who did not appear the time just before 5 o'clock? [ David ]\n< On Monday arrived Mark. On Tuesday arrived Nancy. On Monday arrived Ruth. >. Who did not appear the day just before Tuesday? [ Nancy ]\n< In 2013 arrived Paul. In 2017 arrived Ruth. In 2017 arrived Richard. >. Who did not appear the year just before 2018? [ Paul ]\n"}
{"task_id": "task53", "texts": "\n< In 2013 arrived Laura. In 2013 arrived Donald. In 2011 arrived Susan. >. Who did not show up the year just before 2014? Susan\n< At 9 o'clock arrived Brian. At 7 o'clock arrived Dorothy. At 7 o'clock arrived Anthony. >. Who did not show up the time just before 8 o'clock? Brian\n< In 2018 arrived Michael. In 2017 arrived Dorothy. In 2018 arrived William. >. Who did not show up the year just before 2019? [ Dorothy ]\n< In summer arrived Maria. In autumn arrived Nancy. In autumn arrived Charles. >. Who did not show up the season just before winter? [ Maria ]\n< In October arrived John. In May arrived Donna. In October arrived Michael. >. Who did not show up the month just before November? [ Donna ]\n< In summer arrived John. In autumn arrived Michael. In autumn arrived Jennifer. >. Who did not show up the season just before winter? [ John ]\n< In autumn arrived Mark. In autumn arrived Jason. In summer arrived Donald. >. Who did not show up the season just before winter? [ Donald ]\n< In February arrived Helen. In February arrived Edward. In October arrived Steven. >. Who did not show up the month just before March? [ Steven ]\n"}
{"task_id": "task53", "texts": "\n< In January arrived Kimberly. In January arrived Deborah. In March arrived Karen. >. Who did not show up the month just before February? Karen\n< In 2014 arrived Barbara. In 2017 arrived Patricia. In 2017 arrived John. >. Who did not show up the year just before 2018? Barbara\n< At 3 o'clock arrived Susan. At 3 o'clock arrived Deborah. At 7 o'clock arrived Edward. >. Who did not show up the time just before 4 o'clock? [ Edward ]\n< In February arrived James. In June arrived Lisa. In June arrived Ronald. >. Who did not show up the month just before July? [ James ]\n< In spring arrived Elizabeth. In summer arrived Edward. In spring arrived Nancy. >. Who did not show up the season just before summer? [ Edward ]\n< On Monday arrived Kevin. On Wednesday arrived Patricia. On Wednesday arrived Daniel. >. Who did not show up the day just before Thursday? [ Kevin ]\n< In 2014 arrived Susan. In 2017 arrived Michael. In 2014 arrived Anthony. >. Who did not show up the year just before 2015? [ Michael ]\n< At 5 o'clock arrived Helen. At 5 o'clock arrived Jason. At 8 o'clock arrived Mark. >. Who did not show up the time just before 6 o'clock? [ Mark ]\n"}
{"task_id": "task53", "texts": "\n< In 2015 arrived John. In 2015 arrived Patricia. In 2010 arrived Paul. >. Who did not arrive the year just before 2016? Paul\n< On Tuesday arrived Thomas. On Wednesday arrived Karen. On Tuesday arrived Kevin. >. Who did not arrive the day just before Wednesday? Karen\n< On Wednesday arrived Betty. On Friday arrived Kenneth. On Friday arrived James. >. Who did not arrive the day just before Saturday? [ Betty ]\n< At 6 o'clock arrived Helen. At 3 o'clock arrived Daniel. At 3 o'clock arrived Donna. >. Who did not arrive the time just before 4 o'clock? [ Helen ]\n< In 2018 arrived Dorothy. In 2011 arrived Margaret. In 2011 arrived Michelle. >. Who did not arrive the year just before 2012? [ Dorothy ]\n< In autumn arrived Sarah. In autumn arrived Thomas. In spring arrived Ronald. >. Who did not arrive the season just before winter? [ Ronald ]\n< In 2015 arrived Michelle. In 2018 arrived Elizabeth. In 2018 arrived Richard. >. Who did not arrive the year just before 2019? [ Michelle ]\n< On Thursday arrived Sandra. On Wednesday arrived Jennifer. On Thursday arrived William. >. Who did not arrive the day just before Friday? [ Jennifer ]\n"}
{"task_id": "task53", "texts": "\n< In spring arrived Mary. In spring arrived Ronald. In summer arrived Nancy. >. Who did not arrive the season just before summer? Nancy\n< At 6 o'clock arrived Daniel. At 11 o'clock arrived Mary. At 6 o'clock arrived Edward. >. Who did not arrive the time just before 7 o'clock? Mary\n< In 2015 arrived Richard. In 2017 arrived Carol. In 2017 arrived Sandra. >. Who did not arrive the year just before 2018? [ Richard ]\n< In April arrived Donna. In July arrived Nancy. In April arrived Laura. >. Who did not arrive the month just before May? [ Nancy ]\n< On Wednesday arrived Charles. On Monday arrived Deborah. On Monday arrived Betty. >. Who did not arrive the day just before Tuesday? [ Charles ]\n< In autumn arrived Maria. In summer arrived Anthony. In autumn arrived Ronald. >. Who did not arrive the season just before winter? [ Anthony ]\n< In September arrived George. In February arrived Sandra. In September arrived Brian. >. Who did not arrive the month just before October? [ Sandra ]\n< In 2018 arrived Sarah. In 2018 arrived William. In 2016 arrived Sandra. >. Who did not arrive the year just before 2019? [ Sandra ]\n"}
{"task_id": "task53", "texts": "\n< In spring arrived Donald. In summer arrived Thomas. In summer arrived Betty. >. Who did not appear the season just before autumn? Donald\n< In autumn arrived Nancy. In autumn arrived Elizabeth. In summer arrived Charles. >. Who did not appear the season just before winter? Charles\n< At 11 o'clock arrived Edward. At 7 o'clock arrived John. At 7 o'clock arrived Richard. >. Who did not appear the time just before 8 o'clock? [ Edward ]\n< In 2016 arrived Helen. In 2012 arrived Sandra. In 2016 arrived Donald. >. Who did not appear the year just before 2017? [ Sandra ]\n< At 11 o'clock arrived David. At 11 o'clock arrived Anthony. At 7 o'clock arrived Helen. >. Who did not appear the time just before 12 o'clock? [ Helen ]\n< On Wednesday arrived Sandra. On Thursday arrived Carol. On Wednesday arrived Kimberly. >. Who did not appear the day just before Thursday? [ Carol ]\n< In 2016 arrived Margaret. In 2012 arrived Daniel. In 2012 arrived Michael. >. Who did not appear the year just before 2013? [ Margaret ]\n< In 2011 arrived Elizabeth. In 2011 arrived Nancy. In 2015 arrived Steven. >. Who did not appear the year just before 2012? [ Steven ]\n"}
{"task_id": "task53", "texts": "\n< At 9 o'clock arrived Jeff. At 9 o'clock arrived Donna. At 10 o'clock arrived Robert. >. Who did not arrive the time just before 10 o'clock? Robert\n< On Monday arrived Michelle. On Thursday arrived John. On Thursday arrived Barbara. >. Who did not arrive the day just before Friday? Michelle\n< In 2016 arrived Michelle. In 2017 arrived William. In 2016 arrived Patricia. >. Who did not arrive the year just before 2017? [ William ]\n< On Monday arrived Jason. On Thursday arrived Robert. On Thursday arrived Thomas. >. Who did not arrive the day just before Friday? [ Jason ]\n< At 5 o'clock arrived Barbara. At 4 o'clock arrived Kenneth. At 5 o'clock arrived Linda. >. Who did not arrive the time just before 6 o'clock? [ Kenneth ]\n< On Wednesday arrived John. On Friday arrived Betty. On Friday arrived Karen. >. Who did not arrive the day just before Saturday? [ John ]\n< In 2010 arrived Kimberly. In 2010 arrived Mary. In 2018 arrived Patricia. >. Who did not arrive the year just before 2011? [ Patricia ]\n< On Friday arrived Steven. On Thursday arrived Sarah. On Thursday arrived Anthony. >. Who did not arrive the day just before Friday? [ Steven ]\n"}
{"task_id": "task53", "texts": "\n< At 5 o'clock arrived Mary. At 5 o'clock arrived Jason. At 9 o'clock arrived Richard. >. Who did not appear the time just before 6 o'clock? Richard\n< In 2015 arrived Jason. In 2015 arrived Maria. In 2013 arrived Nancy. >. Who did not appear the year just before 2016? Nancy\n< In 2017 arrived Jason. In 2013 arrived George. In 2017 arrived Nancy. >. Who did not appear the year just before 2018? [ George ]\n< At 7 o'clock arrived Brian. At 3 o'clock arrived Sharon. At 7 o'clock arrived Christopher. >. Who did not appear the time just before 8 o'clock? [ Sharon ]\n< In September arrived Deborah. In September arrived Susan. In May arrived Nancy. >. Who did not appear the month just before October? [ Nancy ]\n< In summer arrived Christopher. In summer arrived Donna. In autumn arrived Paul. >. Who did not appear the season just before autumn? [ Paul ]\n< In summer arrived William. In autumn arrived Robert. In autumn arrived Jennifer. >. Who did not appear the season just before winter? [ William ]\n< In 2018 arrived Thomas. In 2014 arrived Lisa. In 2014 arrived Carol. >. Who did not appear the year just before 2015? [ Thomas ]\n"}
{"task_id": "task53", "texts": "\n< In 2016 arrived David. In 2012 arrived Susan. In 2016 arrived Paul. >. Who did not appear the year just before 2017? Susan\n< In spring arrived Helen. In autumn arrived Elizabeth. In autumn arrived Kenneth. >. Who did not appear the season just before winter? Helen\n< In 2016 arrived Linda. In 2016 arrived Donald. In 2015 arrived Laura. >. Who did not appear the year just before 2017? [ Laura ]\n< In May arrived Deborah. In September arrived Steven. In September arrived Elizabeth. >. Who did not appear the month just before October? [ Deborah ]\n< In 2014 arrived Anthony. In 2015 arrived Mary. In 2014 arrived Edward. >. Who did not appear the year just before 2015? [ Mary ]\n< In August arrived Susan. In August arrived Elizabeth. In May arrived Paul. >. Who did not appear the month just before September? [ Paul ]\n< On Monday arrived Donald. On Wednesday arrived Richard. On Monday arrived Dorothy. >. Who did not appear the day just before Tuesday? [ Richard ]\n< At 9 o'clock arrived Deborah. At 3 o'clock arrived Patricia. At 9 o'clock arrived Edward. >. Who did not appear the time just before 10 o'clock? [ Patricia ]\n"}
{"task_id": "task53", "texts": "\n< In autumn arrived Kenneth. In spring arrived Patricia. In spring arrived Karen. >. Who did not appear the season just before summer? Kenneth\n< At 7 o'clock arrived Christopher. At 5 o'clock arrived Karen. At 7 o'clock arrived Lisa. >. Who did not appear the time just before 8 o'clock? Karen\n< At 1 o'clock arrived Charles. At 8 o'clock arrived Helen. At 8 o'clock arrived Betty. >. Who did not appear the time just before 9 o'clock? [ Charles ]\n< In summer arrived Linda. In summer arrived Jennifer. In spring arrived Daniel. >. Who did not appear the season just before autumn? [ Daniel ]\n< In August arrived Patricia. In October arrived Jeff. In August arrived Michael. >. Who did not appear the month just before September? [ Jeff ]\n< At 1 o'clock arrived Ronald. At 8 o'clock arrived Michael. At 1 o'clock arrived Richard. >. Who did not appear the time just before 2 o'clock? [ Michael ]\n< On Monday arrived George. On Monday arrived Deborah. On Friday arrived Laura. >. Who did not appear the day just before Tuesday? [ Laura ]\n< In 2015 arrived Jennifer. In 2013 arrived Betty. In 2015 arrived Jason. >. Who did not appear the year just before 2016? [ Betty ]\n"}
{"task_id": "task53", "texts": "\n< In 2015 arrived Deborah. In 2015 arrived Charles. In 2017 arrived Jason. >. Who did not show up the year just before 2016? Jason\n< On Thursday arrived Michael. On Monday arrived Linda. On Thursday arrived Jeff. >. Who did not show up the day just before Friday? Linda\n< In summer arrived Kimberly. In summer arrived Sarah. In spring arrived Mark. >. Who did not show up the season just before autumn? [ Mark ]\n< In spring arrived Sharon. In autumn arrived Steven. In spring arrived Daniel. >. Who did not show up the season just before summer? [ Steven ]\n< In spring arrived Joseph. In autumn arrived Michelle. In spring arrived Jason. >. Who did not show up the season just before summer? [ Michelle ]\n< In spring arrived Jennifer. In summer arrived Kevin. In summer arrived Karen. >. Who did not show up the season just before autumn? [ Jennifer ]\n< In May arrived Jeff. In March arrived Susan. In March arrived Nancy. >. Who did not show up the month just before April? [ Jeff ]\n< In spring arrived Charles. In spring arrived Laura. In autumn arrived Dorothy. >. Who did not show up the season just before summer? [ Dorothy ]\n"}
{"task_id": "task53", "texts": "\n< In autumn arrived Susan. In summer arrived Carol. In summer arrived Laura. >. Who did not show up the season just before autumn? Susan\n< On Thursday arrived Barbara. On Wednesday arrived Ruth. On Thursday arrived Kenneth. >. Who did not show up the day just before Friday? Ruth\n< In summer arrived Nancy. In spring arrived Karen. In summer arrived Laura. >. Who did not show up the season just before autumn? [ Karen ]\n< At 4 o'clock arrived Deborah. At 4 o'clock arrived Donald. At 7 o'clock arrived Christopher. >. Who did not show up the time just before 5 o'clock? [ Christopher ]\n< In April arrived Sandra. In October arrived Karen. In April arrived Brian. >. Who did not show up the month just before May? [ Karen ]\n< In September arrived Jennifer. In January arrived Helen. In January arrived Daniel. >. Who did not show up the month just before February? [ Jennifer ]\n< In spring arrived Elizabeth. In spring arrived Helen. In autumn arrived Richard. >. Who did not show up the season just before summer? [ Richard ]\n< At 1 o'clock arrived Ruth. At 2 o'clock arrived Michael. At 2 o'clock arrived Sharon. >. Who did not show up the time just before 3 o'clock? [ Ruth ]\n"}
{"task_id": "task54", "texts": "\n< Kevin arrived in 2011. Paul arrived in 2018. Susan arrived in 2010. >. Who appeared the year just before 2012? Kevin\n< Sharon arrived at 3 o'clock. John arrived at 6 o'clock. Richard arrived at 7 o'clock. >. Who appeared the time just before 4 o'clock? Sharon\n< Margaret arrived in 2018. John arrived in 2014. Barbara arrived in 2015. >. Who appeared the year just before 2015? [ John ]\n< Jeff arrived at 11 o'clock. Margaret arrived at 2 o'clock. Patricia arrived at 5 o'clock. >. Who appeared the time just before 12 o'clock? [ Jeff ]\n< Mark arrived on Tuesday. Margaret arrived on Thursday. Michelle arrived on Wednesday. >. Who appeared the day just before Thursday? [ Michelle ]\n< Betty arrived at 2 o'clock. Steven arrived at 6 o'clock. Jennifer arrived at 5 o'clock. >. Who appeared the time just before 7 o'clock? [ Steven ]\n< Donna arrived on Thursday. Nancy arrived on Wednesday. Kevin arrived on Friday. >. Who appeared the day just before Saturday? [ Kevin ]\n< Linda arrived on Thursday. Kimberly arrived on Friday. Helen arrived on Tuesday. >. Who appeared the day just before Friday? [ Linda ]\n"}
{"task_id": "task54", "texts": "\n< Laura arrived in 2017. Brian arrived in 2012. Linda arrived in 2015. >. Who arrived the year just before 2013? Brian\n< John arrived at 6 o'clock. Ronald arrived at 4 o'clock. Deborah arrived at 1 o'clock. >. Who arrived the time just before 7 o'clock? John\n< Michelle arrived in 2017. Laura arrived in 2011. Mary arrived in 2012. >. Who arrived the year just before 2013? [ Mary ]\n< Dorothy arrived at 11 o'clock. Margaret arrived at 10 o'clock. James arrived at 6 o'clock. >. Who arrived the time just before 7 o'clock? [ James ]\n< Michael arrived in June. Patricia arrived in September. Dorothy arrived in February. >. Who arrived the month just before March? [ Dorothy ]\n< Helen arrived in autumn. Donald arrived in spring. George arrived in summer. >. Who arrived the season just before autumn? [ George ]\n< Michelle arrived in 2016. Michael arrived in 2017. Susan arrived in 2011. >. Who arrived the year just before 2018? [ Michael ]\n< Mary arrived at 4 o'clock. Jeff arrived at 9 o'clock. Robert arrived at 8 o'clock. >. Who arrived the time just before 5 o'clock? [ Mary ]\n"}
{"task_id": "task54", "texts": "\n< Robert arrived in spring. Michelle arrived in autumn. Mark arrived in summer. >. Who showed up the season just before summer? Robert\n< Thomas arrived on Monday. Linda arrived on Thursday. Mark arrived on Wednesday. >. Who showed up the day just before Thursday? Mark\n< George arrived in summer. Thomas arrived in autumn. Lisa arrived in spring. >. Who showed up the season just before winter? [ Thomas ]\n< Kevin arrived in 2012. Jennifer arrived in 2016. Nancy arrived in 2010. >. Who showed up the year just before 2017? [ Jennifer ]\n< Betty arrived in autumn. Mary arrived in summer. John arrived in spring. >. Who showed up the season just before autumn? [ Mary ]\n< Deborah arrived at 4 o'clock. Mark arrived at 7 o'clock. Thomas arrived at 5 o'clock. >. Who showed up the time just before 6 o'clock? [ Thomas ]\n< Michael arrived at 6 o'clock. Paul arrived at 4 o'clock. Sharon arrived at 9 o'clock. >. Who showed up the time just before 10 o'clock? [ Sharon ]\n< Robert arrived in autumn. William arrived in summer. Charles arrived in spring. >. Who showed up the season just before winter? [ Robert ]\n"}
{"task_id": "task54", "texts": "\n< Barbara arrived in April. Robert arrived in June. John arrived in March. >. Who arrived the month just before July? Robert\n< Edward arrived on Thursday. Ronald arrived on Friday. Michelle arrived on Tuesday. >. Who arrived the day just before Friday? Edward\n< Brian arrived in July. Karen arrived in April. Michael arrived in August. >. Who arrived the month just before September? [ Michael ]\n< Kevin arrived in November. Carol arrived in January. Margaret arrived in September. >. Who arrived the month just before February? [ Carol ]\n< John arrived at 5 o'clock. Edward arrived at 8 o'clock. Dorothy arrived at 11 o'clock. >. Who arrived the time just before 12 o'clock? [ Dorothy ]\n< Patricia arrived on Monday. Daniel arrived on Wednesday. Edward arrived on Friday. >. Who arrived the day just before Saturday? [ Edward ]\n< Michelle arrived in 2015. Kimberly arrived in 2017. Sharon arrived in 2010. >. Who arrived the year just before 2016? [ Michelle ]\n< Barbara arrived at 8 o'clock. Michelle arrived at 1 o'clock. Margaret arrived at 11 o'clock. >. Who arrived the time just before 12 o'clock? [ Margaret ]\n"}
{"task_id": "task54", "texts": "\n< Barbara arrived in 2013. Nancy arrived in 2018. Jennifer arrived in 2012. >. Who appeared the year just before 2013? Jennifer\n< Mary arrived on Friday. George arrived on Tuesday. Laura arrived on Thursday. >. Who appeared the day just before Friday? Laura\n< Karen arrived at 10 o'clock. Michael arrived at 11 o'clock. Steven arrived at 1 o'clock. >. Who appeared the time just before 12 o'clock? [ Michael ]\n< Daniel arrived on Tuesday. Charles arrived on Monday. Laura arrived on Wednesday. >. Who appeared the day just before Thursday? [ Laura ]\n< Kenneth arrived on Friday. Daniel arrived on Thursday. Laura arrived on Monday. >. Who appeared the day just before Saturday? [ Kenneth ]\n< George arrived in 2014. Michelle arrived in 2011. Maria arrived in 2015. >. Who appeared the year just before 2012? [ Michelle ]\n< Ronald arrived in autumn. Edward arrived in spring. Barbara arrived in summer. >. Who appeared the season just before winter? [ Ronald ]\n< Thomas arrived in summer. Sandra arrived in autumn. Jennifer arrived in spring. >. Who appeared the season just before winter? [ Sandra ]\n"}
{"task_id": "task54", "texts": "\n< Maria arrived at 1 o'clock. Donna arrived at 9 o'clock. Margaret arrived at 8 o'clock. >. Who arrived the time just before 2 o'clock? Maria\n< Laura arrived at 7 o'clock. Donna arrived at 10 o'clock. Ronald arrived at 4 o'clock. >. Who arrived the time just before 11 o'clock? Donna\n< Sharon arrived in autumn. Carol arrived in spring. Michael arrived in summer. >. Who arrived the season just before autumn? [ Michael ]\n< Dorothy arrived in 2018. Patricia arrived in 2016. Kenneth arrived in 2015. >. Who arrived the year just before 2016? [ Kenneth ]\n< Betty arrived on Friday. Joseph arrived on Monday. Deborah arrived on Thursday. >. Who arrived the day just before Tuesday? [ Joseph ]\n< Jeff arrived in May. Charles arrived in July. Nancy arrived in August. >. Who arrived the month just before June? [ Jeff ]\n< Richard arrived at 7 o'clock. Ruth arrived at 3 o'clock. Thomas arrived at 8 o'clock. >. Who arrived the time just before 8 o'clock? [ Richard ]\n< Ronald arrived on Friday. Mark arrived on Thursday. Ruth arrived on Monday. >. Who arrived the day just before Friday? [ Mark ]\n"}
{"task_id": "task54", "texts": "\n< Kimberly arrived in 2018. Mary arrived in 2015. Patricia arrived in 2016. >. Who showed up the year just before 2017? Patricia\n< Dorothy arrived on Tuesday. Carol arrived on Thursday. William arrived on Friday. >. Who showed up the day just before Friday? Carol\n< Mark arrived in September. Anthony arrived in April. Michael arrived in June. >. Who showed up the month just before October? [ Mark ]\n< Paul arrived in 2016. Donna arrived in 2017. Nancy arrived in 2012. >. Who showed up the year just before 2017? [ Paul ]\n< Edward arrived at 9 o'clock. Karen arrived at 2 o'clock. George arrived at 10 o'clock. >. Who showed up the time just before 3 o'clock? [ Karen ]\n< Christopher arrived at 7 o'clock. Ronald arrived at 5 o'clock. Karen arrived at 6 o'clock. >. Who showed up the time just before 8 o'clock? [ Christopher ]\n< Donald arrived at 5 o'clock. Jeff arrived at 10 o'clock. Richard arrived at 7 o'clock. >. Who showed up the time just before 8 o'clock? [ Richard ]\n< Donna arrived in 2010. Anthony arrived in 2011. Sarah arrived in 2012. >. Who showed up the year just before 2011? [ Donna ]\n"}
{"task_id": "task54", "texts": "\n< Sharon arrived in 2014. Charles arrived in 2012. Mary arrived in 2013. >. Who appeared the year just before 2014? Mary\n< Paul arrived in 2014. Mark arrived in 2015. Nancy arrived in 2011. >. Who appeared the year just before 2012? Nancy\n< Nancy arrived in June. Sarah arrived in March. Lisa arrived in July. >. Who appeared the month just before April? [ Sarah ]\n< Deborah arrived on Monday. Jeff arrived on Tuesday. Michelle arrived on Thursday. >. Who appeared the day just before Wednesday? [ Jeff ]\n< Jason arrived in November. Jennifer arrived in April. Kimberly arrived in January. >. Who appeared the month just before December? [ Jason ]\n< Jennifer arrived in April. Elizabeth arrived in March. Michelle arrived in October. >. Who appeared the month just before November? [ Michelle ]\n< Linda arrived in 2017. Laura arrived in 2014. Karen arrived in 2011. >. Who appeared the year just before 2018? [ Linda ]\n< Anthony arrived at 10 o'clock. George arrived at 11 o'clock. Donna arrived at 8 o'clock. >. Who appeared the time just before 12 o'clock? [ George ]\n"}
{"task_id": "task54", "texts": "\n< Patricia arrived on Tuesday. Laura arrived on Friday. Ronald arrived on Monday. >. Who appeared the day just before Saturday? Laura\n< John arrived on Thursday. Betty arrived on Friday. Brian arrived on Tuesday. >. Who appeared the day just before Friday? John\n< Michelle arrived in 2012. Jeff arrived in 2017. Linda arrived in 2010. >. Who appeared the year just before 2013? [ Michelle ]\n< Ronald arrived on Monday. Michael arrived on Wednesday. Richard arrived on Friday. >. Who appeared the day just before Thursday? [ Michael ]\n< Helen arrived on Tuesday. Michael arrived on Friday. Kenneth arrived on Monday. >. Who appeared the day just before Tuesday? [ Kenneth ]\n< Kimberly arrived on Tuesday. Margaret arrived on Thursday. Linda arrived on Friday. >. Who appeared the day just before Saturday? [ Linda ]\n< Linda arrived in spring. Deborah arrived in summer. Jeff arrived in autumn. >. Who appeared the season just before winter? [ Jeff ]\n< Donald arrived on Tuesday. Michael arrived on Thursday. Steven arrived on Friday. >. Who appeared the day just before Friday? [ Michael ]\n"}
{"task_id": "task54", "texts": "\n< William arrived in 2014. Steven arrived in 2010. James arrived in 2017. >. Who appeared the year just before 2011? Steven\n< Jeff arrived in spring. Betty arrived in summer. Linda arrived in autumn. >. Who appeared the season just before summer? Jeff\n< Thomas arrived in 2011. Steven arrived in 2017. Lisa arrived in 2016. >. Who appeared the year just before 2018? [ Steven ]\n< Kevin arrived at 5 o'clock. Joseph arrived at 3 o'clock. Karen arrived at 6 o'clock. >. Who appeared the time just before 6 o'clock? [ Kevin ]\n< Christopher arrived in spring. Laura arrived in autumn. Charles arrived in summer. >. Who appeared the season just before autumn? [ Charles ]\n< Barbara arrived on Wednesday. Margaret arrived on Monday. Brian arrived on Tuesday. >. Who appeared the day just before Wednesday? [ Brian ]\n< Paul arrived in 2010. Daniel arrived in 2017. David arrived in 2018. >. Who appeared the year just before 2019? [ David ]\n< Karen arrived in 2012. Brian arrived in 2018. Patricia arrived in 2015. >. Who appeared the year just before 2019? [ Brian ]\n"}
{"task_id": "task54", "texts": "\n< Richard arrived in May. Michelle arrived in June. Carol arrived in August. >. Who showed up the month just before September? Carol\n< William arrived in August. Margaret arrived in October. Jason arrived in June. >. Who showed up the month just before November? Margaret\n< Jeff arrived in autumn. Mark arrived in summer. Daniel arrived in spring. >. Who showed up the season just before autumn? [ Mark ]\n< Barbara arrived in spring. Ruth arrived in autumn. Kenneth arrived in summer. >. Who showed up the season just before winter? [ Ruth ]\n< Elizabeth arrived in spring. Brian arrived in autumn. Laura arrived in summer. >. Who showed up the season just before autumn? [ Laura ]\n< James arrived on Friday. Michael arrived on Tuesday. Mark arrived on Thursday. >. Who showed up the day just before Saturday? [ James ]\n< Edward arrived in autumn. Daniel arrived in spring. John arrived in summer. >. Who showed up the season just before winter? [ Edward ]\n< William arrived in autumn. Dorothy arrived in spring. Ronald arrived in summer. >. Who showed up the season just before summer? [ Dorothy ]\n"}
{"task_id": "task54", "texts": "\n< Donald arrived at 11 o'clock. Michelle arrived at 5 o'clock. Daniel arrived at 1 o'clock. >. Who arrived the time just before 12 o'clock? Donald\n< George arrived in 2016. Linda arrived in 2012. Edward arrived in 2017. >. Who arrived the year just before 2017? George\n< Anthony arrived in February. Betty arrived in September. George arrived in October. >. Who arrived the month just before November? [ George ]\n< Jeff arrived on Thursday. Ronald arrived on Tuesday. Margaret arrived on Wednesday. >. Who arrived the day just before Friday? [ Jeff ]\n< Laura arrived in January. Barbara arrived in August. Ronald arrived in June. >. Who arrived the month just before September? [ Barbara ]\n< Christopher arrived in autumn. Richard arrived in spring. Thomas arrived in summer. >. Who arrived the season just before autumn? [ Thomas ]\n< Betty arrived in spring. John arrived in autumn. Robert arrived in summer. >. Who arrived the season just before autumn? [ Robert ]\n< Richard arrived on Friday. Margaret arrived on Monday. Dorothy arrived on Thursday. >. Who arrived the day just before Tuesday? [ Margaret ]\n"}
{"task_id": "task55", "texts": "\n< In 2011 arrived Kevin. In 2018 arrived Paul. In 2010 arrived Susan. >. Who appeared the year just before 2012? Kevin\n< At 3 o'clock arrived Sharon. At 6 o'clock arrived John. At 7 o'clock arrived Richard. >. Who appeared the time just before 4 o'clock? Sharon\n< In 2018 arrived Margaret. In 2014 arrived John. In 2015 arrived Barbara. >. Who appeared the year just before 2015? [ John ]\n< At 11 o'clock arrived Jeff. At 2 o'clock arrived Margaret. At 5 o'clock arrived Patricia. >. Who appeared the time just before 12 o'clock? [ Jeff ]\n< On Tuesday arrived Mark. On Thursday arrived Margaret. On Wednesday arrived Michelle. >. Who appeared the day just before Thursday? [ Michelle ]\n< At 2 o'clock arrived Betty. At 6 o'clock arrived Steven. At 5 o'clock arrived Jennifer. >. Who appeared the time just before 7 o'clock? [ Steven ]\n< On Thursday arrived Donna. On Wednesday arrived Nancy. On Friday arrived Kevin. >. Who appeared the day just before Saturday? [ Kevin ]\n< On Thursday arrived Linda. On Friday arrived Kimberly. On Tuesday arrived Helen. >. Who appeared the day just before Friday? [ Linda ]\n"}
{"task_id": "task55", "texts": "\n< In 2017 arrived Laura. In 2012 arrived Brian. In 2015 arrived Linda. >. Who arrived the year just before 2013? Brian\n< At 6 o'clock arrived John. At 4 o'clock arrived Ronald. At 1 o'clock arrived Deborah. >. Who arrived the time just before 7 o'clock? John\n< In 2017 arrived Michelle. In 2011 arrived Laura. In 2012 arrived Mary. >. Who arrived the year just before 2013? [ Mary ]\n< At 11 o'clock arrived Dorothy. At 10 o'clock arrived Margaret. At 6 o'clock arrived James. >. Who arrived the time just before 7 o'clock? [ James ]\n< In June arrived Michael. In September arrived Patricia. In February arrived Dorothy. >. Who arrived the month just before March? [ Dorothy ]\n< In autumn arrived Helen. In spring arrived Donald. In summer arrived George. >. Who arrived the season just before autumn? [ George ]\n< In 2016 arrived Michelle. In 2017 arrived Michael. In 2011 arrived Susan. >. Who arrived the year just before 2018? [ Michael ]\n< At 4 o'clock arrived Mary. At 9 o'clock arrived Jeff. At 8 o'clock arrived Robert. >. Who arrived the time just before 5 o'clock? [ Mary ]\n"}
{"task_id": "task55", "texts": "\n< In spring arrived Robert. In autumn arrived Michelle. In summer arrived Mark. >. Who showed up the season just before summer? Robert\n< On Monday arrived Thomas. On Thursday arrived Linda. On Wednesday arrived Mark. >. Who showed up the day just before Thursday? Mark\n< In summer arrived George. In autumn arrived Thomas. In spring arrived Lisa. >. Who showed up the season just before winter? [ Thomas ]\n< In 2012 arrived Kevin. In 2016 arrived Jennifer. In 2010 arrived Nancy. >. Who showed up the year just before 2017? [ Jennifer ]\n< In autumn arrived Betty. In summer arrived Mary. In spring arrived John. >. Who showed up the season just before autumn? [ Mary ]\n< At 4 o'clock arrived Deborah. At 7 o'clock arrived Mark. At 5 o'clock arrived Thomas. >. Who showed up the time just before 6 o'clock? [ Thomas ]\n< At 6 o'clock arrived Michael. At 4 o'clock arrived Paul. At 9 o'clock arrived Sharon. >. Who showed up the time just before 10 o'clock? [ Sharon ]\n< In autumn arrived Robert. In summer arrived William. In spring arrived Charles. >. Who showed up the season just before winter? [ Robert ]\n"}
{"task_id": "task55", "texts": "\n< In April arrived Barbara. In June arrived Robert. In March arrived John. >. Who arrived the month just before July? Robert\n< On Thursday arrived Edward. On Friday arrived Ronald. On Tuesday arrived Michelle. >. Who arrived the day just before Friday? Edward\n< In July arrived Brian. In April arrived Karen. In August arrived Michael. >. Who arrived the month just before September? [ Michael ]\n< In November arrived Kevin. In January arrived Carol. In September arrived Margaret. >. Who arrived the month just before February? [ Carol ]\n< At 5 o'clock arrived John. At 8 o'clock arrived Edward. At 11 o'clock arrived Dorothy. >. Who arrived the time just before 12 o'clock? [ Dorothy ]\n< On Monday arrived Patricia. On Wednesday arrived Daniel. On Friday arrived Edward. >. Who arrived the day just before Saturday? [ Edward ]\n< In 2015 arrived Michelle. In 2017 arrived Kimberly. In 2010 arrived Sharon. >. Who arrived the year just before 2016? [ Michelle ]\n< At 8 o'clock arrived Barbara. At 1 o'clock arrived Michelle. At 11 o'clock arrived Margaret. >. Who arrived the time just before 12 o'clock? [ Margaret ]\n"}
{"task_id": "task55", "texts": "\n< In 2013 arrived Barbara. In 2018 arrived Nancy. In 2012 arrived Jennifer. >. Who appeared the year just before 2013? Jennifer\n< On Friday arrived Mary. On Tuesday arrived George. On Thursday arrived Laura. >. Who appeared the day just before Friday? Laura\n< At 10 o'clock arrived Karen. At 11 o'clock arrived Michael. At 1 o'clock arrived Steven. >. Who appeared the time just before 12 o'clock? [ Michael ]\n< On Tuesday arrived Daniel. On Monday arrived Charles. On Wednesday arrived Laura. >. Who appeared the day just before Thursday? [ Laura ]\n< On Friday arrived Kenneth. On Thursday arrived Daniel. On Monday arrived Laura. >. Who appeared the day just before Saturday? [ Kenneth ]\n< In 2014 arrived George. In 2011 arrived Michelle. In 2015 arrived Maria. >. Who appeared the year just before 2012? [ Michelle ]\n< In autumn arrived Ronald. In spring arrived Edward. In summer arrived Barbara. >. Who appeared the season just before winter? [ Ronald ]\n< In summer arrived Thomas. In autumn arrived Sandra. In spring arrived Jennifer. >. Who appeared the season just before winter? [ Sandra ]\n"}
{"task_id": "task55", "texts": "\n< At 1 o'clock arrived Maria. At 9 o'clock arrived Donna. At 8 o'clock arrived Margaret. >. Who arrived the time just before 2 o'clock? Maria\n< At 7 o'clock arrived Laura. At 10 o'clock arrived Donna. At 4 o'clock arrived Ronald. >. Who arrived the time just before 11 o'clock? Donna\n< In autumn arrived Sharon. In spring arrived Carol. In summer arrived Michael. >. Who arrived the season just before autumn? [ Michael ]\n< In 2018 arrived Dorothy. In 2016 arrived Patricia. In 2015 arrived Kenneth. >. Who arrived the year just before 2016? [ Kenneth ]\n< On Friday arrived Betty. On Monday arrived Joseph. On Thursday arrived Deborah. >. Who arrived the day just before Tuesday? [ Joseph ]\n< In May arrived Jeff. In July arrived Charles. In August arrived Nancy. >. Who arrived the month just before June? [ Jeff ]\n< At 7 o'clock arrived Richard. At 3 o'clock arrived Ruth. At 8 o'clock arrived Thomas. >. Who arrived the time just before 8 o'clock? [ Richard ]\n< On Friday arrived Ronald. On Thursday arrived Mark. On Monday arrived Ruth. >. Who arrived the day just before Friday? [ Mark ]\n"}
{"task_id": "task55", "texts": "\n< In 2018 arrived Kimberly. In 2015 arrived Mary. In 2016 arrived Patricia. >. Who showed up the year just before 2017? Patricia\n< On Tuesday arrived Dorothy. On Thursday arrived Carol. On Friday arrived William. >. Who showed up the day just before Friday? Carol\n< In September arrived Mark. In April arrived Anthony. In June arrived Michael. >. Who showed up the month just before October? [ Mark ]\n< In 2016 arrived Paul. In 2017 arrived Donna. In 2012 arrived Nancy. >. Who showed up the year just before 2017? [ Paul ]\n< At 9 o'clock arrived Edward. At 2 o'clock arrived Karen. At 10 o'clock arrived George. >. Who showed up the time just before 3 o'clock? [ Karen ]\n< At 7 o'clock arrived Christopher. At 5 o'clock arrived Ronald. At 6 o'clock arrived Karen. >. Who showed up the time just before 8 o'clock? [ Christopher ]\n< At 5 o'clock arrived Donald. At 10 o'clock arrived Jeff. At 7 o'clock arrived Richard. >. Who showed up the time just before 8 o'clock? [ Richard ]\n< In 2010 arrived Donna. In 2011 arrived Anthony. In 2012 arrived Sarah. >. Who showed up the year just before 2011? [ Donna ]\n"}
{"task_id": "task55", "texts": "\n< In 2014 arrived Sharon. In 2012 arrived Charles. In 2013 arrived Mary. >. Who appeared the year just before 2014? Mary\n< In 2014 arrived Paul. In 2015 arrived Mark. In 2011 arrived Nancy. >. Who appeared the year just before 2012? Nancy\n< In June arrived Nancy. In March arrived Sarah. In July arrived Lisa. >. Who appeared the month just before April? [ Sarah ]\n< On Monday arrived Deborah. On Tuesday arrived Jeff. On Thursday arrived Michelle. >. Who appeared the day just before Wednesday? [ Jeff ]\n< In November arrived Jason. In April arrived Jennifer. In January arrived Kimberly. >. Who appeared the month just before December? [ Jason ]\n< In April arrived Jennifer. In March arrived Elizabeth. In October arrived Michelle. >. Who appeared the month just before November? [ Michelle ]\n< In 2017 arrived Linda. In 2014 arrived Laura. In 2011 arrived Karen. >. Who appeared the year just before 2018? [ Linda ]\n< At 10 o'clock arrived Anthony. At 11 o'clock arrived George. At 8 o'clock arrived Donna. >. Who appeared the time just before 12 o'clock? [ George ]\n"}
{"task_id": "task55", "texts": "\n< On Tuesday arrived Patricia. On Friday arrived Laura. On Monday arrived Ronald. >. Who appeared the day just before Saturday? Laura\n< On Thursday arrived John. On Friday arrived Betty. On Tuesday arrived Brian. >. Who appeared the day just before Friday? John\n< In 2012 arrived Michelle. In 2017 arrived Jeff. In 2010 arrived Linda. >. Who appeared the year just before 2013? [ Michelle ]\n< On Monday arrived Ronald. On Wednesday arrived Michael. On Friday arrived Richard. >. Who appeared the day just before Thursday? [ Michael ]\n< On Tuesday arrived Helen. On Friday arrived Michael. On Monday arrived Kenneth. >. Who appeared the day just before Tuesday? [ Kenneth ]\n< On Tuesday arrived Kimberly. On Thursday arrived Margaret. On Friday arrived Linda. >. Who appeared the day just before Saturday? [ Linda ]\n< In spring arrived Linda. In summer arrived Deborah. In autumn arrived Jeff. >. Who appeared the season just before winter? [ Jeff ]\n< On Tuesday arrived Donald. On Thursday arrived Michael. On Friday arrived Steven. >. Who appeared the day just before Friday? [ Michael ]\n"}
{"task_id": "task55", "texts": "\n< In 2014 arrived William. In 2010 arrived Steven. In 2017 arrived James. >. Who appeared the year just before 2011? Steven\n< In spring arrived Jeff. In summer arrived Betty. In autumn arrived Linda. >. Who appeared the season just before summer? Jeff\n< In 2011 arrived Thomas. In 2017 arrived Steven. In 2016 arrived Lisa. >. Who appeared the year just before 2018? [ Steven ]\n< At 5 o'clock arrived Kevin. At 3 o'clock arrived Joseph. At 6 o'clock arrived Karen. >. Who appeared the time just before 6 o'clock? [ Kevin ]\n< In spring arrived Christopher. In autumn arrived Laura. In summer arrived Charles. >. Who appeared the season just before autumn? [ Charles ]\n< On Wednesday arrived Barbara. On Monday arrived Margaret. On Tuesday arrived Brian. >. Who appeared the day just before Wednesday? [ Brian ]\n< In 2010 arrived Paul. In 2017 arrived Daniel. In 2018 arrived David. >. Who appeared the year just before 2019? [ David ]\n< In 2012 arrived Karen. In 2018 arrived Brian. In 2015 arrived Patricia. >. Who appeared the year just before 2019? [ Brian ]\n"}
{"task_id": "task55", "texts": "\n< In May arrived Richard. In June arrived Michelle. In August arrived Carol. >. Who showed up the month just before September? Carol\n< In August arrived William. In October arrived Margaret. In June arrived Jason. >. Who showed up the month just before November? Margaret\n< In autumn arrived Jeff. In summer arrived Mark. In spring arrived Daniel. >. Who showed up the season just before autumn? [ Mark ]\n< In spring arrived Barbara. In autumn arrived Ruth. In summer arrived Kenneth. >. Who showed up the season just before winter? [ Ruth ]\n< In spring arrived Elizabeth. In autumn arrived Brian. In summer arrived Laura. >. Who showed up the season just before autumn? [ Laura ]\n< On Friday arrived James. On Tuesday arrived Michael. On Thursday arrived Mark. >. Who showed up the day just before Saturday? [ James ]\n< In autumn arrived Edward. In spring arrived Daniel. In summer arrived John. >. Who showed up the season just before winter? [ Edward ]\n< In autumn arrived William. In spring arrived Dorothy. In summer arrived Ronald. >. Who showed up the season just before summer? [ Dorothy ]\n"}
{"task_id": "task55", "texts": "\n< At 11 o'clock arrived Donald. At 5 o'clock arrived Michelle. At 1 o'clock arrived Daniel. >. Who arrived the time just before 12 o'clock? Donald\n< In 2016 arrived George. In 2012 arrived Linda. In 2017 arrived Edward. >. Who arrived the year just before 2017? George\n< In February arrived Anthony. In September arrived Betty. In October arrived George. >. Who arrived the month just before November? [ George ]\n< On Thursday arrived Jeff. On Tuesday arrived Ronald. On Wednesday arrived Margaret. >. Who arrived the day just before Friday? [ Jeff ]\n< In January arrived Laura. In August arrived Barbara. In June arrived Ronald. >. Who arrived the month just before September? [ Barbara ]\n< In autumn arrived Christopher. In spring arrived Richard. In summer arrived Thomas. >. Who arrived the season just before autumn? [ Thomas ]\n< In spring arrived Betty. In autumn arrived John. In summer arrived Robert. >. Who arrived the season just before autumn? [ Robert ]\n< On Friday arrived Richard. On Monday arrived Margaret. On Thursday arrived Dorothy. >. Who arrived the day just before Tuesday? [ Margaret ]\n"}
{"task_id": "task56", "texts": "\nThere are a sweater, an elephant, a sweater. Which is not sweater? The elephant\nThere are a football, a football, a car. Which is not football? The car\nThere are a costume, a lemon, a lemon. Which is not lemon? The [ costume ]\nThere are a duck, a duck, tea. Which is not duck? The [ tea ]\nThere are a rabbit, a rabbit, blueberries. Which is not rabbit? The [ blueberries ]\nThere are a bee, a wolf, a bee. Which is not bee? The [ wolf ]\nThere are a hamburger, a donkey, a donkey. Which is not donkey? The [ hamburger ]\nThere are a sweater, vodka, a sweater. Which is not sweater? The [ vodka ]\n"}
{"task_id": "task56", "texts": "\nThere are jeans, jeans, tea. Which is not jeans? The tea\nThere are a cat, a mango, a mango. Which is not mango? The cat\nThere are an apple, a jeep, a jeep. Which is not jeep? The [ apple ]\nThere are a burger, a burger, a guitar. Which is not burger? The [ guitar ]\nThere are beer, beer, a dog. Which is not beer? The [ dog ]\nThere are a goat, a lemon, a lemon. Which is not lemon? The [ goat ]\nThere are a peach, a piano, a peach. Which is not peach? The [ piano ]\nThere are a monkey, strawberries, a monkey. Which is not monkey? The [ strawberries ]\n"}
{"task_id": "task56", "texts": "\nThere are beer, a rabbit, beer. Which is not beer? The rabbit\nThere are a papaya, trousers, a papaya. Which is not papaya? The trousers\nThere are a pig, a burger, a pig. Which is not pig? The [ burger ]\nThere are a bee, an apple, an apple. Which is not apple? The [ bee ]\nThere are a squirrel, a squirrel, whiskey. Which is not squirrel? The [ whiskey ]\nThere are a shirt, a shirt, a rifle. Which is not shirt? The [ rifle ]\nThere are jeans, a goat, jeans. Which is not jeans? The [ goat ]\nThere are a cat, trousers, trousers. Which is not trousers? The [ cat ]\n"}
{"task_id": "task56", "texts": "\nThere are a kiwi, a kiwi, pants. Which is not kiwi? The pants\nThere are a grenade, strawberries, a grenade. Which is not grenade? The strawberries\nThere are a steak, a steak, a jacket. Which is not steak? The [ jacket ]\nThere are a durian, an elephant, an elephant. Which is not elephant? The [ durian ]\nThere are meat, an orange, an orange. Which is not orange? The [ meat ]\nThere are a donkey, a papaya, a papaya. Which is not papaya? The [ donkey ]\nThere are a jeep, pizza, a jeep. Which is not jeep? The [ pizza ]\nThere are underwear, soda, soda. Which is not soda? The [ underwear ]\n"}
{"task_id": "task56", "texts": "\nThere are a mouse, a sweater, a mouse. Which is not mouse? The sweater\nThere are a papaya, jeans, a papaya. Which is not papaya? The jeans\nThere are a lime, a fox, a fox. Which is not fox? The [ lime ]\nThere are coffee, pants, coffee. Which is not coffee? The [ pants ]\nThere are a motorcycle, juice, a motorcycle. Which is not motorcycle? The [ juice ]\nThere are a plum, a pistol, a pistol. Which is not pistol? The [ plum ]\nThere are an apple, an apple, trousers. Which is not apple? The [ trousers ]\nThere are a fox, a fox, shoes. Which is not fox? The [ shoes ]\n"}
{"task_id": "task56", "texts": "\nThere are a cat, a sweater, a cat. Which is not cat? The sweater\nThere are underwear, underwear, a donkey. Which is not underwear? The donkey\nThere are a shotgun, a shotgun, an elephant. Which is not shotgun? The [ elephant ]\nThere are a mouse, a shotgun, a mouse. Which is not mouse? The [ shotgun ]\nThere are bread, a tiger, a tiger. Which is not tiger? The [ bread ]\nThere are a costume, soda, a costume. Which is not costume? The [ soda ]\nThere are vodka, cake, cake. Which is not cake? The [ vodka ]\nThere are pants, pants, a bee. Which is not pants? The [ bee ]\n"}
{"task_id": "task56", "texts": "\nThere are a uniform, juice, a uniform. Which is not uniform? The juice\nThere are whiskey, whiskey, strawberries. Which is not whiskey? The strawberries\nThere are bread, bread, a jeep. Which is not bread? The [ jeep ]\nThere are juice, a pineapple, a pineapple. Which is not pineapple? The [ juice ]\nThere are pizza, pants, pizza. Which is not pizza? The [ pants ]\nThere are whiskey, a wolf, a wolf. Which is not wolf? The [ whiskey ]\nThere are a papaya, a papaya, a basketball. Which is not papaya? The [ basketball ]\nThere are a banana, a banana, a gun. Which is not banana? The [ gun ]\n"}
{"task_id": "task56", "texts": "\nThere are shoes, a watermelon, a watermelon. Which is not watermelon? The shoes\nThere are an elephant, an elephant, a lemon. Which is not elephant? The lemon\nThere are bread, a cat, a cat. Which is not cat? The [ bread ]\nThere are a kiwi, a shirt, a kiwi. Which is not kiwi? The [ shirt ]\nThere are strawberries, strawberries, a cat. Which is not strawberries? The [ cat ]\nThere are a costume, spaghetti, spaghetti. Which is not spaghetti? The [ costume ]\nThere are a piano, a gun, a piano. Which is not piano? The [ gun ]\nThere are a car, a car, a plum. Which is not car? The [ plum ]\n"}
{"task_id": "task56", "texts": "\nThere are a baseball, a baseball, a kiwi. Which is not baseball? The kiwi\nThere are cake, tea, cake. Which is not cake? The tea\nThere are a football, a durian, a football. Which is not football? The [ durian ]\nThere are cake, a shirt, a shirt. Which is not shirt? The [ cake ]\nThere are a rabbit, tea, tea. Which is not tea? The [ rabbit ]\nThere are a jeep, a jeep, a cow. Which is not jeep? The [ cow ]\nThere are a cannon, a cannon, a duck. Which is not cannon? The [ duck ]\nThere are trousers, a revolver, trousers. Which is not trousers? The [ revolver ]\n"}
{"task_id": "task56", "texts": "\nThere are an apricot, a goose, a goose. Which is not goose? The apricot\nThere are a hamburger, trousers, trousers. Which is not trousers? The hamburger\nThere are a car, a cow, a car. Which is not car? The [ cow ]\nThere are a monkey, cake, cake. Which is not cake? The [ monkey ]\nThere are a lion, an orange, a lion. Which is not lion? The [ orange ]\nThere are blackberries, blackberries, a basketball. Which is not blackberries? The [ basketball ]\nThere are a mango, trousers, trousers. Which is not trousers? The [ mango ]\nThere are a gun, a gun, blueberries. Which is not gun? The [ blueberries ]\n"}
{"task_id": "task56", "texts": "\nThere are a shirt, a shirt, juice. Which is not shirt? The juice\nThere are pants, pants, a plum. Which is not pants? The plum\nThere are a donkey, cherries, a donkey. Which is not donkey? The [ cherries ]\nThere are a cocktail, a beetle, a cocktail. Which is not cocktail? The [ beetle ]\nThere are a football, a pistol, a pistol. Which is not pistol? The [ football ]\nThere are a mosquito, a mango, a mango. Which is not mango? The [ mosquito ]\nThere are grapes, a wolf, grapes. Which is not grapes? The [ wolf ]\nThere are a deer, soda, a deer. Which is not deer? The [ soda ]\n"}
{"task_id": "task56", "texts": "\nThere are blueberries, coffee, blueberries. Which is not blueberries? The coffee\nThere are tea, T-shirt, T-shirt. Which is not T-shirt? The tea\nThere are a beetle, an elephant, a beetle. Which is not beetle? The [ elephant ]\nThere are pants, pants, a donkey. Which is not pants? The [ donkey ]\nThere are a burger, a burger, a pistol. Which is not burger? The [ pistol ]\nThere are a gorilla, a jacket, a jacket. Which is not jacket? The [ gorilla ]\nThere are a taxi, a gun, a gun. Which is not gun? The [ taxi ]\nThere are a taxi, a lemon, a lemon. Which is not lemon? The [ taxi ]\n"}
{"task_id": "task57", "texts": "\nThere are a sweater, an elephant, a sweater. Which is different? The elephant\nThere are a football, a football, a car. Which is different? The car\nThere are a costume, a lemon, a lemon. Which is different? The [ costume ]\nThere are a duck, a duck, tea. Which is different? The [ tea ]\nThere are a rabbit, a rabbit, blueberries. Which is different? The [ blueberries ]\nThere are a bee, a wolf, a bee. Which is different? The [ wolf ]\nThere are a hamburger, a donkey, a donkey. Which is different? The [ hamburger ]\nThere are a sweater, vodka, a sweater. Which is different? The [ vodka ]\n"}
{"task_id": "task57", "texts": "\nThere are jeans, jeans, tea. Which is different? The tea\nThere are a cat, a mango, a mango. Which is different? The cat\nThere are an apple, a jeep, a jeep. Which is different? The [ apple ]\nThere are a burger, a burger, a guitar. Which is different? The [ guitar ]\nThere are beer, beer, a dog. Which is different? The [ dog ]\nThere are a goat, a lemon, a lemon. Which is different? The [ goat ]\nThere are a peach, a piano, a peach. Which is different? The [ piano ]\nThere are a monkey, strawberries, a monkey. Which is different? The [ strawberries ]\n"}
{"task_id": "task57", "texts": "\nThere are beer, a rabbit, beer. Which is different? The rabbit\nThere are a papaya, trousers, a papaya. Which is different? The trousers\nThere are a pig, a burger, a pig. Which is different? The [ burger ]\nThere are a bee, an apple, an apple. Which is different? The [ bee ]\nThere are a squirrel, a squirrel, whiskey. Which is different? The [ whiskey ]\nThere are a shirt, a shirt, a rifle. Which is different? The [ rifle ]\nThere are jeans, a goat, jeans. Which is different? The [ goat ]\nThere are a cat, trousers, trousers. Which is different? The [ cat ]\n"}
{"task_id": "task57", "texts": "\nThere are a kiwi, a kiwi, pants. Which is different? The pants\nThere are a grenade, strawberries, a grenade. Which is different? The strawberries\nThere are a steak, a steak, a jacket. Which is different? The [ jacket ]\nThere are a durian, an elephant, an elephant. Which is different? The [ durian ]\nThere are meat, an orange, an orange. Which is different? The [ meat ]\nThere are a donkey, a papaya, a papaya. Which is different? The [ donkey ]\nThere are a jeep, pizza, a jeep. Which is different? The [ pizza ]\nThere are underwear, soda, soda. Which is different? The [ underwear ]\n"}
{"task_id": "task57", "texts": "\nThere are a mouse, a sweater, a mouse. Which is different? The sweater\nThere are a papaya, jeans, a papaya. Which is different? The jeans\nThere are a lime, a fox, a fox. Which is different? The [ lime ]\nThere are coffee, pants, coffee. Which is different? The [ pants ]\nThere are a motorcycle, juice, a motorcycle. Which is different? The [ juice ]\nThere are a plum, a pistol, a pistol. Which is different? The [ plum ]\nThere are an apple, an apple, trousers. Which is different? The [ trousers ]\nThere are a fox, a fox, shoes. Which is different? The [ shoes ]\n"}
{"task_id": "task57", "texts": "\nThere are a cat, a sweater, a cat. Which is different? The sweater\nThere are underwear, underwear, a donkey. Which is different? The donkey\nThere are a shotgun, a shotgun, an elephant. Which is different? The [ elephant ]\nThere are a mouse, a shotgun, a mouse. Which is different? The [ shotgun ]\nThere are bread, a tiger, a tiger. Which is different? The [ bread ]\nThere are a costume, soda, a costume. Which is different? The [ soda ]\nThere are vodka, cake, cake. Which is different? The [ vodka ]\nThere are pants, pants, a bee. Which is different? The [ bee ]\n"}
{"task_id": "task57", "texts": "\nThere are a uniform, juice, a uniform. Which is different? The juice\nThere are whiskey, whiskey, strawberries. Which is different? The strawberries\nThere are bread, bread, a jeep. Which is different? The [ jeep ]\nThere are juice, a pineapple, a pineapple. Which is different? The [ juice ]\nThere are pizza, pants, pizza. Which is different? The [ pants ]\nThere are whiskey, a wolf, a wolf. Which is different? The [ whiskey ]\nThere are a papaya, a papaya, a basketball. Which is different? The [ basketball ]\nThere are a banana, a banana, a gun. Which is different? The [ gun ]\n"}
{"task_id": "task57", "texts": "\nThere are shoes, a watermelon, a watermelon. Which is different? The shoes\nThere are an elephant, an elephant, a lemon. Which is different? The lemon\nThere are bread, a cat, a cat. Which is different? The [ bread ]\nThere are a kiwi, a shirt, a kiwi. Which is different? The [ shirt ]\nThere are strawberries, strawberries, a cat. Which is different? The [ cat ]\nThere are a costume, spaghetti, spaghetti. Which is different? The [ costume ]\nThere are a piano, a gun, a piano. Which is different? The [ gun ]\nThere are a car, a car, a plum. Which is different? The [ plum ]\n"}
{"task_id": "task57", "texts": "\nThere are a baseball, a baseball, a kiwi. Which is different? The kiwi\nThere are cake, tea, cake. Which is different? The tea\nThere are a football, a durian, a football. Which is different? The [ durian ]\nThere are cake, a shirt, a shirt. Which is different? The [ cake ]\nThere are a rabbit, tea, tea. Which is different? The [ rabbit ]\nThere are a jeep, a jeep, a cow. Which is different? The [ cow ]\nThere are a cannon, a cannon, a duck. Which is different? The [ duck ]\nThere are trousers, a revolver, trousers. Which is different? The [ revolver ]\n"}
{"task_id": "task57", "texts": "\nThere are an apricot, a goose, a goose. Which is different? The apricot\nThere are a hamburger, trousers, trousers. Which is different? The hamburger\nThere are a car, a cow, a car. Which is different? The [ cow ]\nThere are a monkey, cake, cake. Which is different? The [ monkey ]\nThere are a lion, an orange, a lion. Which is different? The [ orange ]\nThere are blackberries, blackberries, a basketball. Which is different? The [ basketball ]\nThere are a mango, trousers, trousers. Which is different? The [ mango ]\nThere are a gun, a gun, blueberries. Which is different? The [ blueberries ]\n"}
{"task_id": "task57", "texts": "\nThere are a shirt, a shirt, juice. Which is different? The juice\nThere are pants, pants, a plum. Which is different? The plum\nThere are a donkey, cherries, a donkey. Which is different? The [ cherries ]\nThere are a cocktail, a beetle, a cocktail. Which is different? The [ beetle ]\nThere are a football, a pistol, a pistol. Which is different? The [ football ]\nThere are a mosquito, a mango, a mango. Which is different? The [ mosquito ]\nThere are grapes, a wolf, grapes. Which is different? The [ wolf ]\nThere are a deer, soda, a deer. Which is different? The [ soda ]\n"}
{"task_id": "task57", "texts": "\nThere are blueberries, coffee, blueberries. Which is different? The coffee\nThere are tea, T-shirt, T-shirt. Which is different? The tea\nThere are a beetle, an elephant, a beetle. Which is different? The [ elephant ]\nThere are pants, pants, a donkey. Which is different? The [ donkey ]\nThere are a burger, a burger, a pistol. Which is different? The [ pistol ]\nThere are a gorilla, a jacket, a jacket. Which is different? The [ gorilla ]\nThere are a taxi, a gun, a gun. Which is different? The [ taxi ]\nThere are a taxi, a lemon, a lemon. Which is different? The [ taxi ]\n"}
{"task_id": "task58", "texts": "\nThere are a sweater, an elephant, a sweater. Which is not sweater? A kind of animal\nThere are a football, a football, a car. Which is not football? A kind of vehicle\nThere are a costume, a lemon, a lemon. Which is not lemon? A kind of [ clothing ]\nThere are a duck, a duck, tea. Which is not duck? A kind of [ drink ]\nThere are a rabbit, a rabbit, blueberries. Which is not rabbit? A kind of [ fruit ]\nThere are a bee, a wolf, a bee. Which is not bee? A kind of [ animal ]\nThere are a hamburger, a donkey, a donkey. Which is not donkey? A kind of [ food ]\nThere are a sweater, vodka, a sweater. Which is not sweater? A kind of [ drink ]\n"}
{"task_id": "task58", "texts": "\nThere are beer, a papaya, a papaya. Which is not papaya? A kind of drink\nThere are a hamburger, coffee, coffee. Which is not coffee? A kind of food\nThere are a bus, a watermelon, a watermelon. Which is not watermelon? A kind of [ vehicle ]\nThere are an elephant, an elephant, a taxi. Which is not elephant? A kind of [ vehicle ]\nThere are trousers, a revolver, trousers. Which is not trousers? A kind of [ weapon ]\nThere are a watermelon, jeans, a watermelon. Which is not watermelon? A kind of [ clothing ]\nThere are an apricot, an apricot, a violin. Which is not apricot? A kind of [ musical instrument ]\nThere are a wolf, a lime, a wolf. Which is not wolf? A kind of [ fruit ]\n"}
{"task_id": "task58", "texts": "\nThere are a sweater, a monkey, a sweater. Which is not sweater? A kind of animal\nThere are a pineapple, a cannon, a pineapple. Which is not pineapple? A kind of weapon\nThere are an apple, coffee, an apple. Which is not apple? A kind of [ drink ]\nThere are trousers, a lemon, a lemon. Which is not lemon? A kind of [ clothing ]\nThere are a car, a football, a football. Which is not football? A kind of [ vehicle ]\nThere are a baseball, a baseball, blueberries. Which is not baseball? A kind of [ fruit ]\nThere are a jersey, juice, juice. Which is not juice? A kind of [ clothing ]\nThere are a papaya, a papaya, a goose. Which is not papaya? A kind of [ animal ]\n"}
{"task_id": "task58", "texts": "\nThere are a grenade, a burger, a burger. Which is not burger? A kind of weapon\nThere are a cat, a cat, T-shirt. Which is not cat? A kind of clothing\nThere are a pineapple, tea, tea. Which is not tea? A kind of [ fruit ]\nThere are a mosquito, a donkey, a donkey. Which is not donkey? A kind of [ insect ]\nThere are vodka, vodka, a shirt. Which is not vodka? A kind of [ clothing ]\nThere are a goat, a burger, a goat. Which is not goat? A kind of [ food ]\nThere are spaghetti, a football, a football. Which is not football? A kind of [ food ]\nThere are a hamburger, a lime, a hamburger. Which is not hamburger? A kind of [ fruit ]\n"}
{"task_id": "task58", "texts": "\nThere are wine, a squirrel, wine. Which is not wine? A kind of animal\nThere are a mango, a mango, vodka. Which is not mango? A kind of drink\nThere are a grenade, a burger, a burger. Which is not burger? A kind of [ weapon ]\nThere are a lemon, a lemon, a shotgun. Which is not lemon? A kind of [ weapon ]\nThere are bread, bread, a kiwi. Which is not bread? A kind of [ fruit ]\nThere are juice, a jersey, a jersey. Which is not jersey? A kind of [ drink ]\nThere are a pear, a baseball, a pear. Which is not pear? A kind of [ sport ]\nThere are a bus, bread, a bus. Which is not bus? A kind of [ food ]\n"}
{"task_id": "task58", "texts": "\nThere are a pear, a pear, a piano. Which is not pear? A kind of musical instrument\nThere are a hamburger, a fox, a fox. Which is not fox? A kind of food\nThere are soda, soda, sheep. Which is not soda? A kind of [ animal ]\nThere are a goose, a goose, a pear. Which is not goose? A kind of [ fruit ]\nThere are a baseball, a monkey, a monkey. Which is not monkey? A kind of [ sport ]\nThere are a cat, a bee, a cat. Which is not cat? A kind of [ insect ]\nThere are underwear, underwear, a cow. Which is not underwear? A kind of [ animal ]\nThere are a piano, an apple, a piano. Which is not piano? A kind of [ fruit ]\n"}
{"task_id": "task58", "texts": "\nThere are a basketball, a shirt, a shirt. Which is not shirt? A kind of sport\nThere are a deer, a deer, blueberries. Which is not deer? A kind of fruit\nThere are a hamburger, a hamburger, a bus. Which is not hamburger? A kind of [ vehicle ]\nThere are cake, a papaya, a papaya. Which is not papaya? A kind of [ food ]\nThere are a jeep, a rifle, a jeep. Which is not jeep? A kind of [ weapon ]\nThere are a beetle, a jersey, a jersey. Which is not jersey? A kind of [ insect ]\nThere are wine, wine, a sweater. Which is not wine? A kind of [ clothing ]\nThere are jeans, a plum, jeans. Which is not jeans? A kind of [ fruit ]\n"}
{"task_id": "task58", "texts": "\nThere are an orange, an orange, wine. Which is not orange? A kind of drink\nThere are a horse, a bus, a horse. Which is not horse? A kind of vehicle\nThere are pizza, pizza, a pig. Which is not pizza? A kind of [ animal ]\nThere are spaghetti, an apple, an apple. Which is not apple? A kind of [ food ]\nThere are strawberries, a costume, a costume. Which is not costume? A kind of [ fruit ]\nThere are a pear, a pear, a jacket. Which is not pear? A kind of [ clothing ]\nThere are sheep, a taxi, a taxi. Which is not taxi? A kind of [ animal ]\nThere are T-shirt, a lemon, T-shirt. Which is not T-shirt? A kind of [ fruit ]\n"}
{"task_id": "task58", "texts": "\nThere are a guitar, an apple, an apple. Which is not apple? A kind of musical instrument\nThere are a bus, a bus, a pear. Which is not bus? A kind of fruit\nThere are meat, coffee, meat. Which is not meat? A kind of [ drink ]\nThere are a sweater, a football, a sweater. Which is not sweater? A kind of [ sport ]\nThere are a basketball, a basketball, juice. Which is not basketball? A kind of [ drink ]\nThere are beer, beer, a rifle. Which is not beer? A kind of [ weapon ]\nThere are coffee, a piano, coffee. Which is not coffee? A kind of [ musical instrument ]\nThere are a mouse, an apple, an apple. Which is not apple? A kind of [ animal ]\n"}
{"task_id": "task58", "texts": "\nThere are sheep, sheep, coffee. Which is not sheep? A kind of drink\nThere are spaghetti, a uniform, spaghetti. Which is not spaghetti? A kind of clothing\nThere are a shirt, a pear, a shirt. Which is not shirt? A kind of [ fruit ]\nThere are a bee, a lemon, a lemon. Which is not lemon? A kind of [ insect ]\nThere are a squirrel, strawberries, a squirrel. Which is not squirrel? A kind of [ fruit ]\nThere are a jacket, a jacket, a car. Which is not jacket? A kind of [ vehicle ]\nThere are a sweater, a lemon, a lemon. Which is not lemon? A kind of [ clothing ]\nThere are a lemon, a lemon, a cat. Which is not lemon? A kind of [ animal ]\n"}
{"task_id": "task58", "texts": "\nThere are a shotgun, an orange, an orange. Which is not orange? A kind of weapon\nThere are strawberries, strawberries, a baseball. Which is not strawberries? A kind of sport\nThere are jeans, a jeep, a jeep. Which is not jeep? A kind of [ clothing ]\nThere are a violin, a hamburger, a violin. Which is not violin? A kind of [ food ]\nThere are a monkey, juice, a monkey. Which is not monkey? A kind of [ drink ]\nThere are a pig, an apricot, a pig. Which is not pig? A kind of [ fruit ]\nThere are soda, a cat, soda. Which is not soda? A kind of [ animal ]\nThere are a banana, a banana, underwear. Which is not banana? A kind of [ clothing ]\n"}
{"task_id": "task58", "texts": "\nThere are an orange, a motorcycle, an orange. Which is not orange? A kind of vehicle\nThere are a motorcycle, a motorcycle, a deer. Which is not motorcycle? A kind of animal\nThere are cherries, juice, juice. Which is not juice? A kind of [ fruit ]\nThere are a fox, a basketball, a fox. Which is not fox? A kind of [ sport ]\nThere are a hamburger, a monkey, a hamburger. Which is not hamburger? A kind of [ animal ]\nThere are spaghetti, spaghetti, coffee. Which is not spaghetti? A kind of [ drink ]\nThere are a cannon, a wolf, a wolf. Which is not wolf? A kind of [ weapon ]\nThere are a football, a cannon, a football. Which is not football? A kind of [ weapon ]\n"}
{"task_id": "task59", "texts": "\nThere are a sweater, an elephant, a sweater. Which is different? A kind of animal\nThere are a football, a football, a car. Which is different? A kind of vehicle\nThere are a costume, a lemon, a lemon. Which is different? A kind of [ clothing ]\nThere are a duck, a duck, tea. Which is different? A kind of [ drink ]\nThere are a rabbit, a rabbit, blueberries. Which is different? A kind of [ fruit ]\nThere are a bee, a wolf, a bee. Which is different? A kind of [ animal ]\nThere are a hamburger, a donkey, a donkey. Which is different? A kind of [ food ]\nThere are a sweater, vodka, a sweater. Which is different? A kind of [ drink ]\n"}
{"task_id": "task59", "texts": "\nThere are beer, a papaya, a papaya. Which is different? A kind of drink\nThere are a hamburger, coffee, coffee. Which is different? A kind of food\nThere are a bus, a watermelon, a watermelon. Which is different? A kind of [ vehicle ]\nThere are an elephant, an elephant, a taxi. Which is different? A kind of [ vehicle ]\nThere are trousers, a revolver, trousers. Which is different? A kind of [ weapon ]\nThere are a watermelon, jeans, a watermelon. Which is different? A kind of [ clothing ]\nThere are an apricot, an apricot, a violin. Which is different? A kind of [ musical instrument ]\nThere are a wolf, a lime, a wolf. Which is different? A kind of [ fruit ]\n"}
{"task_id": "task59", "texts": "\nThere are a sweater, a monkey, a sweater. Which is different? A kind of animal\nThere are a pineapple, a cannon, a pineapple. Which is different? A kind of weapon\nThere are an apple, coffee, an apple. Which is different? A kind of [ drink ]\nThere are trousers, a lemon, a lemon. Which is different? A kind of [ clothing ]\nThere are a car, a football, a football. Which is different? A kind of [ vehicle ]\nThere are a baseball, a baseball, blueberries. Which is different? A kind of [ fruit ]\nThere are a jersey, juice, juice. Which is different? A kind of [ clothing ]\nThere are a papaya, a papaya, a goose. Which is different? A kind of [ animal ]\n"}
{"task_id": "task59", "texts": "\nThere are a grenade, a burger, a burger. Which is different? A kind of weapon\nThere are a cat, a cat, T-shirt. Which is different? A kind of clothing\nThere are a pineapple, tea, tea. Which is different? A kind of [ fruit ]\nThere are a mosquito, a donkey, a donkey. Which is different? A kind of [ insect ]\nThere are vodka, vodka, a shirt. Which is different? A kind of [ clothing ]\nThere are a goat, a burger, a goat. Which is different? A kind of [ food ]\nThere are spaghetti, a football, a football. Which is different? A kind of [ food ]\nThere are a hamburger, a lime, a hamburger. Which is different? A kind of [ fruit ]\n"}
{"task_id": "task59", "texts": "\nThere are wine, a squirrel, wine. Which is different? A kind of animal\nThere are a mango, a mango, vodka. Which is different? A kind of drink\nThere are a grenade, a burger, a burger. Which is different? A kind of [ weapon ]\nThere are a lemon, a lemon, a shotgun. Which is different? A kind of [ weapon ]\nThere are bread, bread, a kiwi. Which is different? A kind of [ fruit ]\nThere are juice, a jersey, a jersey. Which is different? A kind of [ drink ]\nThere are a pear, a baseball, a pear. Which is different? A kind of [ sport ]\nThere are a bus, bread, a bus. Which is different? A kind of [ food ]\n"}
{"task_id": "task59", "texts": "\nThere are a pear, a pear, a piano. Which is different? A kind of musical instrument\nThere are a hamburger, a fox, a fox. Which is different? A kind of food\nThere are soda, soda, sheep. Which is different? A kind of [ animal ]\nThere are a goose, a goose, a pear. Which is different? A kind of [ fruit ]\nThere are a baseball, a monkey, a monkey. Which is different? A kind of [ sport ]\nThere are a cat, a bee, a cat. Which is different? A kind of [ insect ]\nThere are underwear, underwear, a cow. Which is different? A kind of [ animal ]\nThere are a piano, an apple, a piano. Which is different? A kind of [ fruit ]\n"}
{"task_id": "task59", "texts": "\nThere are a basketball, a shirt, a shirt. Which is different? A kind of sport\nThere are a deer, a deer, blueberries. Which is different? A kind of fruit\nThere are a hamburger, a hamburger, a bus. Which is different? A kind of [ vehicle ]\nThere are cake, a papaya, a papaya. Which is different? A kind of [ food ]\nThere are a jeep, a rifle, a jeep. Which is different? A kind of [ weapon ]\nThere are a beetle, a jersey, a jersey. Which is different? A kind of [ insect ]\nThere are wine, wine, a sweater. Which is different? A kind of [ clothing ]\nThere are jeans, a plum, jeans. Which is different? A kind of [ fruit ]\n"}
{"task_id": "task59", "texts": "\nThere are an orange, an orange, wine. Which is different? A kind of drink\nThere are a horse, a bus, a horse. Which is different? A kind of vehicle\nThere are pizza, pizza, a pig. Which is different? A kind of [ animal ]\nThere are spaghetti, an apple, an apple. Which is different? A kind of [ food ]\nThere are strawberries, a costume, a costume. Which is different? A kind of [ fruit ]\nThere are a pear, a pear, a jacket. Which is different? A kind of [ clothing ]\nThere are sheep, a taxi, a taxi. Which is different? A kind of [ animal ]\nThere are T-shirt, a lemon, T-shirt. Which is different? A kind of [ fruit ]\n"}
{"task_id": "task59", "texts": "\nThere are a guitar, an apple, an apple. Which is different? A kind of musical instrument\nThere are a bus, a bus, a pear. Which is different? A kind of fruit\nThere are meat, coffee, meat. Which is different? A kind of [ drink ]\nThere are a sweater, a football, a sweater. Which is different? A kind of [ sport ]\nThere are a basketball, a basketball, juice. Which is different? A kind of [ drink ]\nThere are beer, beer, a rifle. Which is different? A kind of [ weapon ]\nThere are coffee, a piano, coffee. Which is different? A kind of [ musical instrument ]\nThere are a mouse, an apple, an apple. Which is different? A kind of [ animal ]\n"}
{"task_id": "task59", "texts": "\nThere are sheep, sheep, coffee. Which is different? A kind of drink\nThere are spaghetti, a uniform, spaghetti. Which is different? A kind of clothing\nThere are a shirt, a pear, a shirt. Which is different? A kind of [ fruit ]\nThere are a bee, a lemon, a lemon. Which is different? A kind of [ insect ]\nThere are a squirrel, strawberries, a squirrel. Which is different? A kind of [ fruit ]\nThere are a jacket, a jacket, a car. Which is different? A kind of [ vehicle ]\nThere are a sweater, a lemon, a lemon. Which is different? A kind of [ clothing ]\nThere are a lemon, a lemon, a cat. Which is different? A kind of [ animal ]\n"}
{"task_id": "task59", "texts": "\nThere are a shotgun, an orange, an orange. Which is different? A kind of weapon\nThere are strawberries, strawberries, a baseball. Which is different? A kind of sport\nThere are jeans, a jeep, a jeep. Which is different? A kind of [ clothing ]\nThere are a violin, a hamburger, a violin. Which is different? A kind of [ food ]\nThere are a monkey, juice, a monkey. Which is different? A kind of [ drink ]\nThere are a pig, an apricot, a pig. Which is different? A kind of [ fruit ]\nThere are soda, a cat, soda. Which is different? A kind of [ animal ]\nThere are a banana, a banana, underwear. Which is different? A kind of [ clothing ]\n"}
{"task_id": "task59", "texts": "\nThere are an orange, a motorcycle, an orange. Which is different? A kind of vehicle\nThere are a motorcycle, a motorcycle, a deer. Which is different? A kind of animal\nThere are cherries, juice, juice. Which is different? A kind of [ fruit ]\nThere are a fox, a basketball, a fox. Which is different? A kind of [ sport ]\nThere are a hamburger, a monkey, a hamburger. Which is different? A kind of [ animal ]\nThere are spaghetti, spaghetti, coffee. Which is different? A kind of [ drink ]\nThere are a cannon, a wolf, a wolf. Which is different? A kind of [ weapon ]\nThere are a football, a cannon, a football. Which is different? A kind of [ weapon ]\n"}
{"task_id": "task60", "texts": "\nThere are Canberra, Seoul, Seoul. Which is not Seoul? Canberra\nThere are Sydney, Toronto, Sydney. Which is not Sydney? Toronto\nThere are Pattaya, Busan, Pattaya. Which is not Pattaya? [ Busan ]\nThere are Osaka, Osaka, New Delhi. Which is not Osaka? [ New Delhi ]\nThere are Florence, Paris, Florence. Which is not Florence? [ Paris ]\nThere are Birmingham, Marseille, Birmingham. Which is not Birmingham? [ Marseille ]\nThere are Incheon, Incheon, Rome. Which is not Incheon? [ Rome ]\nThere are Munich, Bangkok, Bangkok. Which is not Bangkok? [ Munich ]\n"}
{"task_id": "task60", "texts": "\nThere are Busan, Busan, Valencia. Which is not Busan? Valencia\nThere are Madrid, Vancouver, Vancouver. Which is not Vancouver? Madrid\nThere are Munich, Mumbai, Munich. Which is not Munich? [ Mumbai ]\nThere are Canberra, Manchester, Manchester. Which is not Manchester? [ Canberra ]\nThere are Brisbane, Bangkok, Brisbane. Which is not Brisbane? [ Bangkok ]\nThere are Florence, Florence, Los Angeles. Which is not Florence? [ Los Angeles ]\nThere are Birmingham, Busan, Busan. Which is not Busan? [ Birmingham ]\nThere are Madrid, Madrid, Rome. Which is not Madrid? [ Rome ]\n"}
{"task_id": "task60", "texts": "\nThere are Kyoto, Marseille, Marseille. Which is not Marseille? Kyoto\nThere are Marseille, Bangkok, Marseille. Which is not Marseille? Bangkok\nThere are Sydney, Sydney, Incheon. Which is not Sydney? [ Incheon ]\nThere are Hamburg, Hamburg, Bern. Which is not Hamburg? [ Bern ]\nThere are Incheon, Paris, Incheon. Which is not Incheon? [ Paris ]\nThere are Munich, Munich, Manchester. Which is not Munich? [ Manchester ]\nThere are Milan, New York, New York. Which is not New York? [ Milan ]\nThere are Busan, Berlin, Busan. Which is not Busan? [ Berlin ]\n"}
{"task_id": "task60", "texts": "\nThere are Vancouver, Vancouver, Moscow. Which is not Vancouver? Moscow\nThere are Geneva, Geneva, Busan. Which is not Geneva? Busan\nThere are Valencia, Milan, Milan. Which is not Milan? [ Valencia ]\nThere are Incheon, Paris, Paris. Which is not Paris? [ Incheon ]\nThere are Lyon, Lyon, Manchester. Which is not Lyon? [ Manchester ]\nThere are Geneva, Florence, Geneva. Which is not Geneva? [ Florence ]\nThere are Paris, Bern, Paris. Which is not Paris? [ Bern ]\nThere are Marseille, Marseille, Mumbai. Which is not Marseille? [ Mumbai ]\n"}
{"task_id": "task60", "texts": "\nThere are Seoul, Lyon, Lyon. Which is not Lyon? Seoul\nThere are Kyoto, Vancouver, Vancouver. Which is not Vancouver? Kyoto\nThere are Shanghai, Kyoto, Shanghai. Which is not Shanghai? [ Kyoto ]\nThere are Canberra, Canberra, Rio de Janeiro. Which is not Canberra? [ Rio de Janeiro ]\nThere are Moscow, Bangalore, Bangalore. Which is not Bangalore? [ Moscow ]\nThere are Barcelona, Barcelona, Sydney. Which is not Barcelona? [ Sydney ]\nThere are Milan, Chiang Mai, Milan. Which is not Milan? [ Chiang Mai ]\nThere are Bras\u00edlia, Venice, Venice. Which is not Venice? [ Bras\u00edlia ]\n"}
{"task_id": "task60", "texts": "\nThere are Birmingham, Beijing, Birmingham. Which is not Birmingham? Beijing\nThere are Birmingham, Barcelona, Birmingham. Which is not Birmingham? Barcelona\nThere are Madrid, Sao Paulo, Madrid. Which is not Madrid? [ Sao Paulo ]\nThere are Tokyo, Tokyo, Geneva. Which is not Tokyo? [ Geneva ]\nThere are Chiang Mai, Lyon, Lyon. Which is not Lyon? [ Chiang Mai ]\nThere are Sao Paulo, Barcelona, Barcelona. Which is not Barcelona? [ Sao Paulo ]\nThere are Barcelona, Vancouver, Vancouver. Which is not Vancouver? [ Barcelona ]\nThere are Lyon, Lyon, Incheon. Which is not Lyon? [ Incheon ]\n"}
{"task_id": "task60", "texts": "\nThere are Seoul, Canberra, Seoul. Which is not Seoul? Canberra\nThere are Geneva, Marseille, Marseille. Which is not Marseille? Geneva\nThere are New York, Canberra, New York. Which is not New York? [ Canberra ]\nThere are Incheon, Geneva, Incheon. Which is not Incheon? [ Geneva ]\nThere are Munich, Munich, Kyoto. Which is not Munich? [ Kyoto ]\nThere are Zurich, Zurich, Florence. Which is not Zurich? [ Florence ]\nThere are Novosibirsk, London, London. Which is not London? [ Novosibirsk ]\nThere are Busan, Busan, Birmingham. Which is not Busan? [ Birmingham ]\n"}
{"task_id": "task60", "texts": "\nThere are Mumbai, Mumbai, Washington, D.C. Which is not Mumbai? Washington, D.C\nThere are Geneva, Geneva, Florence. Which is not Geneva? Florence\nThere are Rio de Janeiro, Bern, Bern. Which is not Bern? [ Rio de Janeiro ]\nThere are Toronto, Toronto, Pattaya. Which is not Toronto? [ Pattaya ]\nThere are Madrid, Los Angeles, Madrid. Which is not Madrid? [ Los Angeles ]\nThere are Sao Paulo, New Delhi, Sao Paulo. Which is not Sao Paulo? [ New Delhi ]\nThere are Canberra, Manchester, Manchester. Which is not Manchester? [ Canberra ]\nThere are Mumbai, Barcelona, Barcelona. Which is not Barcelona? [ Mumbai ]\n"}
{"task_id": "task60", "texts": "\nThere are Berlin, Birmingham, Berlin. Which is not Berlin? Birmingham\nThere are Bern, Brisbane, Brisbane. Which is not Brisbane? Bern\nThere are New York, Canberra, Canberra. Which is not Canberra? [ New York ]\nThere are Bern, Bern, Marseille. Which is not Bern? [ Marseille ]\nThere are New Delhi, Milan, New Delhi. Which is not New Delhi? [ Milan ]\nThere are London, London, Valencia. Which is not London? [ Valencia ]\nThere are Bangalore, Tokyo, Tokyo. Which is not Tokyo? [ Bangalore ]\nThere are Sao Paulo, Novosibirsk, Novosibirsk. Which is not Novosibirsk? [ Sao Paulo ]\n"}
{"task_id": "task60", "texts": "\nThere are Berlin, Zurich, Zurich. Which is not Zurich? Berlin\nThere are Valencia, Valencia, Rio de Janeiro. Which is not Valencia? Rio de Janeiro\nThere are Bangalore, Bangalore, Marseille. Which is not Bangalore? [ Marseille ]\nThere are Rome, Saint Petersburg, Rome. Which is not Rome? [ Saint Petersburg ]\nThere are Moscow, Tokyo, Moscow. Which is not Moscow? [ Tokyo ]\nThere are Bangalore, Guangzhou, Guangzhou. Which is not Guangzhou? [ Bangalore ]\nThere are Washington, D.C, Barcelona, Washington, D.C. Which is not Washington, D.C? [ Barcelona ]\nThere are Geneva, Geneva, Toronto. Which is not Geneva? [ Toronto ]\n"}
{"task_id": "task60", "texts": "\nThere are Birmingham, Los Angeles, Los Angeles. Which is not Los Angeles? Birmingham\nThere are Venice, Venice, Kyoto. Which is not Venice? Kyoto\nThere are Birmingham, Geneva, Geneva. Which is not Geneva? [ Birmingham ]\nThere are Bras\u00edlia, Venice, Bras\u00edlia. Which is not Bras\u00edlia? [ Venice ]\nThere are Moscow, Moscow, Manchester. Which is not Moscow? [ Manchester ]\nThere are Chiang Mai, London, London. Which is not London? [ Chiang Mai ]\nThere are New Delhi, Vancouver, Vancouver. Which is not Vancouver? [ New Delhi ]\nThere are Rio de Janeiro, Chiang Mai, Rio de Janeiro. Which is not Rio de Janeiro? [ Chiang Mai ]\n"}
{"task_id": "task60", "texts": "\nThere are Tokyo, Shanghai, Shanghai. Which is not Shanghai? Tokyo\nThere are Bras\u00edlia, Bras\u00edlia, Paris. Which is not Bras\u00edlia? Paris\nThere are Canberra, Ottawa, Canberra. Which is not Canberra? [ Ottawa ]\nThere are Florence, Barcelona, Florence. Which is not Florence? [ Barcelona ]\nThere are Busan, Chiang Mai, Chiang Mai. Which is not Chiang Mai? [ Busan ]\nThere are Seoul, Tokyo, Tokyo. Which is not Tokyo? [ Seoul ]\nThere are Rio de Janeiro, London, Rio de Janeiro. Which is not Rio de Janeiro? [ London ]\nThere are Osaka, Osaka, Moscow. Which is not Osaka? [ Moscow ]\n"}
{"task_id": "task61", "texts": "\nThere are Canberra, Seoul, Seoul. Which is different? Canberra\nThere are Sydney, Toronto, Sydney. Which is different? Toronto\nThere are Pattaya, Busan, Pattaya. Which is different? [ Busan ]\nThere are Osaka, Osaka, New Delhi. Which is different? [ New Delhi ]\nThere are Florence, Paris, Florence. Which is different? [ Paris ]\nThere are Birmingham, Marseille, Birmingham. Which is different? [ Marseille ]\nThere are Incheon, Incheon, Rome. Which is different? [ Rome ]\nThere are Munich, Bangkok, Bangkok. Which is different? [ Munich ]\n"}
{"task_id": "task61", "texts": "\nThere are Busan, Busan, Valencia. Which is different? Valencia\nThere are Madrid, Vancouver, Vancouver. Which is different? Madrid\nThere are Munich, Mumbai, Munich. Which is different? [ Mumbai ]\nThere are Canberra, Manchester, Manchester. Which is different? [ Canberra ]\nThere are Brisbane, Bangkok, Brisbane. Which is different? [ Bangkok ]\nThere are Florence, Florence, Los Angeles. Which is different? [ Los Angeles ]\nThere are Birmingham, Busan, Busan. Which is different? [ Birmingham ]\nThere are Madrid, Madrid, Rome. Which is different? [ Rome ]\n"}
{"task_id": "task61", "texts": "\nThere are Kyoto, Marseille, Marseille. Which is different? Kyoto\nThere are Marseille, Bangkok, Marseille. Which is different? Bangkok\nThere are Sydney, Sydney, Incheon. Which is different? [ Incheon ]\nThere are Hamburg, Hamburg, Bern. Which is different? [ Bern ]\nThere are Incheon, Paris, Incheon. Which is different? [ Paris ]\nThere are Munich, Munich, Manchester. Which is different? [ Manchester ]\nThere are Milan, New York, New York. Which is different? [ Milan ]\nThere are Busan, Berlin, Busan. Which is different? [ Berlin ]\n"}
{"task_id": "task61", "texts": "\nThere are Vancouver, Vancouver, Moscow. Which is different? Moscow\nThere are Geneva, Geneva, Busan. Which is different? Busan\nThere are Valencia, Milan, Milan. Which is different? [ Valencia ]\nThere are Incheon, Paris, Paris. Which is different? [ Incheon ]\nThere are Lyon, Lyon, Manchester. Which is different? [ Manchester ]\nThere are Geneva, Florence, Geneva. Which is different? [ Florence ]\nThere are Paris, Bern, Paris. Which is different? [ Bern ]\nThere are Marseille, Marseille, Mumbai. Which is different? [ Mumbai ]\n"}
{"task_id": "task61", "texts": "\nThere are Seoul, Lyon, Lyon. Which is different? Seoul\nThere are Kyoto, Vancouver, Vancouver. Which is different? Kyoto\nThere are Shanghai, Kyoto, Shanghai. Which is different? [ Kyoto ]\nThere are Canberra, Canberra, Rio de Janeiro. Which is different? [ Rio de Janeiro ]\nThere are Moscow, Bangalore, Bangalore. Which is different? [ Moscow ]\nThere are Barcelona, Barcelona, Sydney. Which is different? [ Sydney ]\nThere are Milan, Chiang Mai, Milan. Which is different? [ Chiang Mai ]\nThere are Bras\u00edlia, Venice, Venice. Which is different? [ Bras\u00edlia ]\n"}
{"task_id": "task61", "texts": "\nThere are Birmingham, Beijing, Birmingham. Which is different? Beijing\nThere are Birmingham, Barcelona, Birmingham. Which is different? Barcelona\nThere are Madrid, Sao Paulo, Madrid. Which is different? [ Sao Paulo ]\nThere are Tokyo, Tokyo, Geneva. Which is different? [ Geneva ]\nThere are Chiang Mai, Lyon, Lyon. Which is different? [ Chiang Mai ]\nThere are Sao Paulo, Barcelona, Barcelona. Which is different? [ Sao Paulo ]\nThere are Barcelona, Vancouver, Vancouver. Which is different? [ Barcelona ]\nThere are Lyon, Lyon, Incheon. Which is different? [ Incheon ]\n"}
{"task_id": "task61", "texts": "\nThere are Seoul, Canberra, Seoul. Which is different? Canberra\nThere are Geneva, Marseille, Marseille. Which is different? Geneva\nThere are New York, Canberra, New York. Which is different? [ Canberra ]\nThere are Incheon, Geneva, Incheon. Which is different? [ Geneva ]\nThere are Munich, Munich, Kyoto. Which is different? [ Kyoto ]\nThere are Zurich, Zurich, Florence. Which is different? [ Florence ]\nThere are Novosibirsk, London, London. Which is different? [ Novosibirsk ]\nThere are Busan, Busan, Birmingham. Which is different? [ Birmingham ]\n"}
{"task_id": "task61", "texts": "\nThere are Mumbai, Mumbai, Washington, D.C. Which is different? Washington, D.C\nThere are Geneva, Geneva, Florence. Which is different? Florence\nThere are Rio de Janeiro, Bern, Bern. Which is different? [ Rio de Janeiro ]\nThere are Toronto, Toronto, Pattaya. Which is different? [ Pattaya ]\nThere are Madrid, Los Angeles, Madrid. Which is different? [ Los Angeles ]\nThere are Sao Paulo, New Delhi, Sao Paulo. Which is different? [ New Delhi ]\nThere are Canberra, Manchester, Manchester. Which is different? [ Canberra ]\nThere are Mumbai, Barcelona, Barcelona. Which is different? [ Mumbai ]\n"}
{"task_id": "task61", "texts": "\nThere are Berlin, Birmingham, Berlin. Which is different? Birmingham\nThere are Bern, Brisbane, Brisbane. Which is different? Bern\nThere are New York, Canberra, Canberra. Which is different? [ New York ]\nThere are Bern, Bern, Marseille. Which is different? [ Marseille ]\nThere are New Delhi, Milan, New Delhi. Which is different? [ Milan ]\nThere are London, London, Valencia. Which is different? [ Valencia ]\nThere are Bangalore, Tokyo, Tokyo. Which is different? [ Bangalore ]\nThere are Sao Paulo, Novosibirsk, Novosibirsk. Which is different? [ Sao Paulo ]\n"}
{"task_id": "task61", "texts": "\nThere are Berlin, Zurich, Zurich. Which is different? Berlin\nThere are Valencia, Valencia, Rio de Janeiro. Which is different? Rio de Janeiro\nThere are Bangalore, Bangalore, Marseille. Which is different? [ Marseille ]\nThere are Rome, Saint Petersburg, Rome. Which is different? [ Saint Petersburg ]\nThere are Moscow, Tokyo, Moscow. Which is different? [ Tokyo ]\nThere are Bangalore, Guangzhou, Guangzhou. Which is different? [ Bangalore ]\nThere are Washington, D.C, Barcelona, Washington, D.C. Which is different? [ Barcelona ]\nThere are Geneva, Geneva, Toronto. Which is different? [ Toronto ]\n"}
{"task_id": "task61", "texts": "\nThere are Birmingham, Los Angeles, Los Angeles. Which is different? Birmingham\nThere are Venice, Venice, Kyoto. Which is different? Kyoto\nThere are Birmingham, Geneva, Geneva. Which is different? [ Birmingham ]\nThere are Bras\u00edlia, Venice, Bras\u00edlia. Which is different? [ Venice ]\nThere are Moscow, Moscow, Manchester. Which is different? [ Manchester ]\nThere are Chiang Mai, London, London. Which is different? [ Chiang Mai ]\nThere are New Delhi, Vancouver, Vancouver. Which is different? [ New Delhi ]\nThere are Rio de Janeiro, Chiang Mai, Rio de Janeiro. Which is different? [ Chiang Mai ]\n"}
{"task_id": "task61", "texts": "\nThere are Tokyo, Shanghai, Shanghai. Which is different? Tokyo\nThere are Bras\u00edlia, Bras\u00edlia, Paris. Which is different? Paris\nThere are Canberra, Ottawa, Canberra. Which is different? [ Ottawa ]\nThere are Florence, Barcelona, Florence. Which is different? [ Barcelona ]\nThere are Busan, Chiang Mai, Chiang Mai. Which is different? [ Busan ]\nThere are Seoul, Tokyo, Tokyo. Which is different? [ Seoul ]\nThere are Rio de Janeiro, London, Rio de Janeiro. Which is different? [ London ]\nThere are Osaka, Osaka, Moscow. Which is different? [ Moscow ]\n"}
{"task_id": "task62", "texts": "\nThere are Canberra, Seoul, Seoul. Which is not Seoul? The city in Australia\nThere are Sydney, Toronto, Sydney. Which is not Sydney? The city in Canada\nThere are Pattaya, Busan, Pattaya. Which is not Pattaya? The city in [ South Korea ]\nThere are Osaka, Osaka, New Delhi. Which is not Osaka? The city in [ India ]\nThere are Florence, Paris, Florence. Which is not Florence? The city in [ France ]\nThere are Birmingham, Marseille, Birmingham. Which is not Birmingham? The city in [ France ]\nThere are Incheon, Incheon, Rome. Which is not Incheon? The city in [ Italy ]\nThere are Munich, Bangkok, Bangkok. Which is not Bangkok? The city in [ German ]\n"}
{"task_id": "task62", "texts": "\nThere are Busan, Busan, Valencia. Which is not Busan? The city in Spain\nThere are Madrid, Vancouver, Vancouver. Which is not Vancouver? The city in Spain\nThere are Munich, Mumbai, Munich. Which is not Munich? The city in [ India ]\nThere are Canberra, Manchester, Manchester. Which is not Manchester? The city in [ Australia ]\nThere are Brisbane, Bangkok, Brisbane. Which is not Brisbane? The city in [ Thailand ]\nThere are Florence, Florence, Los Angeles. Which is not Florence? The city in [ the United States ]\nThere are Birmingham, Busan, Busan. Which is not Busan? The city in [ the United Kingdom ]\nThere are Madrid, Madrid, Rome. Which is not Madrid? The city in [ Italy ]\n"}
{"task_id": "task62", "texts": "\nThere are Kyoto, Marseille, Marseille. Which is not Marseille? The city in Japan\nThere are Marseille, Bangkok, Marseille. Which is not Marseille? The city in Thailand\nThere are Sydney, Sydney, Incheon. Which is not Sydney? The city in [ South Korea ]\nThere are Hamburg, Hamburg, Bern. Which is not Hamburg? The city in [ Switzerland ]\nThere are Incheon, Paris, Incheon. Which is not Incheon? The city in [ France ]\nThere are Munich, Munich, Manchester. Which is not Munich? The city in [ the United Kingdom ]\nThere are Milan, New York, New York. Which is not New York? The city in [ Italy ]\nThere are Busan, Berlin, Busan. Which is not Busan? The city in [ German ]\n"}
{"task_id": "task62", "texts": "\nThere are Vancouver, Vancouver, Moscow. Which is not Vancouver? The city in Russia\nThere are Geneva, Geneva, Busan. Which is not Geneva? The city in South Korea\nThere are Valencia, Milan, Milan. Which is not Milan? The city in [ Spain ]\nThere are Incheon, Paris, Paris. Which is not Paris? The city in [ South Korea ]\nThere are Lyon, Lyon, Manchester. Which is not Lyon? The city in [ the United Kingdom ]\nThere are Geneva, Florence, Geneva. Which is not Geneva? The city in [ Italy ]\nThere are Paris, Bern, Paris. Which is not Paris? The city in [ Switzerland ]\nThere are Marseille, Marseille, Mumbai. Which is not Marseille? The city in [ India ]\n"}
{"task_id": "task62", "texts": "\nThere are Seoul, Lyon, Lyon. Which is not Lyon? The city in South Korea\nThere are Kyoto, Vancouver, Vancouver. Which is not Vancouver? The city in Japan\nThere are Shanghai, Kyoto, Shanghai. Which is not Shanghai? The city in [ Japan ]\nThere are Canberra, Canberra, Rio de Janeiro. Which is not Canberra? The city in [ Brazil ]\nThere are Moscow, Bangalore, Bangalore. Which is not Bangalore? The city in [ Russia ]\nThere are Barcelona, Barcelona, Sydney. Which is not Barcelona? The city in [ Australia ]\nThere are Milan, Chiang Mai, Milan. Which is not Milan? The city in [ Thailand ]\nThere are Bras\u00edlia, Venice, Venice. Which is not Venice? The city in [ Brazil ]\n"}
{"task_id": "task62", "texts": "\nThere are Birmingham, Beijing, Birmingham. Which is not Birmingham? The city in China\nThere are Birmingham, Barcelona, Birmingham. Which is not Birmingham? The city in Spain\nThere are Madrid, Sao Paulo, Madrid. Which is not Madrid? The city in [ Brazil ]\nThere are Tokyo, Tokyo, Geneva. Which is not Tokyo? The city in [ Switzerland ]\nThere are Chiang Mai, Lyon, Lyon. Which is not Lyon? The city in [ Thailand ]\nThere are Sao Paulo, Barcelona, Barcelona. Which is not Barcelona? The city in [ Brazil ]\nThere are Barcelona, Vancouver, Vancouver. Which is not Vancouver? The city in [ Spain ]\nThere are Lyon, Lyon, Incheon. Which is not Lyon? The city in [ South Korea ]\n"}
{"task_id": "task62", "texts": "\nThere are Seoul, Canberra, Seoul. Which is not Seoul? The city in Australia\nThere are Geneva, Marseille, Marseille. Which is not Marseille? The city in Switzerland\nThere are New York, Canberra, New York. Which is not New York? The city in [ Australia ]\nThere are Incheon, Geneva, Incheon. Which is not Incheon? The city in [ Switzerland ]\nThere are Munich, Munich, Kyoto. Which is not Munich? The city in [ Japan ]\nThere are Zurich, Zurich, Florence. Which is not Zurich? The city in [ Italy ]\nThere are Novosibirsk, London, London. Which is not London? The city in [ Russia ]\nThere are Busan, Busan, Birmingham. Which is not Busan? The city in [ the United Kingdom ]\n"}
{"task_id": "task62", "texts": "\nThere are Mumbai, Mumbai, Washington, D.C. Which is not Mumbai? The city in the United States\nThere are Geneva, Geneva, Florence. Which is not Geneva? The city in Italy\nThere are Rio de Janeiro, Bern, Bern. Which is not Bern? The city in [ Brazil ]\nThere are Toronto, Toronto, Pattaya. Which is not Toronto? The city in [ Thailand ]\nThere are Madrid, Los Angeles, Madrid. Which is not Madrid? The city in [ the United States ]\nThere are Sao Paulo, New Delhi, Sao Paulo. Which is not Sao Paulo? The city in [ India ]\nThere are Canberra, Manchester, Manchester. Which is not Manchester? The city in [ Australia ]\nThere are Mumbai, Barcelona, Barcelona. Which is not Barcelona? The city in [ India ]\n"}
{"task_id": "task62", "texts": "\nThere are Berlin, Birmingham, Berlin. Which is not Berlin? The city in the United Kingdom\nThere are Bern, Brisbane, Brisbane. Which is not Brisbane? The city in Switzerland\nThere are New York, Canberra, Canberra. Which is not Canberra? The city in [ the United States ]\nThere are Bern, Bern, Marseille. Which is not Bern? The city in [ France ]\nThere are New Delhi, Milan, New Delhi. Which is not New Delhi? The city in [ Italy ]\nThere are London, London, Valencia. Which is not London? The city in [ Spain ]\nThere are Bangalore, Tokyo, Tokyo. Which is not Tokyo? The city in [ India ]\nThere are Sao Paulo, Novosibirsk, Novosibirsk. Which is not Novosibirsk? The city in [ Brazil ]\n"}
{"task_id": "task62", "texts": "\nThere are Berlin, Zurich, Zurich. Which is not Zurich? The city in German\nThere are Valencia, Valencia, Rio de Janeiro. Which is not Valencia? The city in Brazil\nThere are Bangalore, Bangalore, Marseille. Which is not Bangalore? The city in [ France ]\nThere are Rome, Saint Petersburg, Rome. Which is not Rome? The city in [ Russia ]\nThere are Moscow, Tokyo, Moscow. Which is not Moscow? The city in [ Japan ]\nThere are Bangalore, Guangzhou, Guangzhou. Which is not Guangzhou? The city in [ India ]\nThere are Washington, D.C, Barcelona, Washington, D.C. Which is not Washington, D.C? The city in [ Spain ]\nThere are Geneva, Geneva, Toronto. Which is not Geneva? The city in [ Canada ]\n"}
{"task_id": "task62", "texts": "\nThere are Tokyo, Shanghai, Shanghai. Which is not Shanghai? The city in Japan\nThere are Bras\u00edlia, Bras\u00edlia, Paris. Which is not Bras\u00edlia? The city in France\nThere are Canberra, Ottawa, Canberra. Which is not Canberra? The city in [ Canada ]\nThere are Florence, Barcelona, Florence. Which is not Florence? The city in [ Spain ]\nThere are Busan, Chiang Mai, Chiang Mai. Which is not Chiang Mai? The city in [ South Korea ]\nThere are Seoul, Tokyo, Tokyo. Which is not Tokyo? The city in [ South Korea ]\nThere are Rio de Janeiro, London, Rio de Janeiro. Which is not Rio de Janeiro? The city in [ the United Kingdom ]\nThere are Osaka, Osaka, Moscow. Which is not Osaka? The city in [ Russia ]\n"}
{"task_id": "task62", "texts": "\nThere are Rio de Janeiro, Canberra, Rio de Janeiro. Which is not Rio de Janeiro? The city in Australia\nThere are Milan, Zurich, Zurich. Which is not Zurich? The city in Italy\nThere are Shanghai, Lyon, Lyon. Which is not Lyon? The city in [ China ]\nThere are Munich, Munich, Los Angeles. Which is not Munich? The city in [ the United States ]\nThere are Kyoto, Lyon, Kyoto. Which is not Kyoto? The city in [ France ]\nThere are Kyoto, Kyoto, Beijing. Which is not Kyoto? The city in [ China ]\nThere are Los Angeles, Los Angeles, Valencia. Which is not Los Angeles? The city in [ Spain ]\nThere are Kyoto, Sao Paulo, Sao Paulo. Which is not Sao Paulo? The city in [ Japan ]\n"}
{"task_id": "task63", "texts": "\nThere are Canberra, Seoul, Seoul. Which is different? The city in Australia\nThere are Sydney, Toronto, Sydney. Which is different? The city in Canada\nThere are Pattaya, Busan, Pattaya. Which is different? The city in [ South Korea ]\nThere are Osaka, Osaka, New Delhi. Which is different? The city in [ India ]\nThere are Florence, Paris, Florence. Which is different? The city in [ France ]\nThere are Birmingham, Marseille, Birmingham. Which is different? The city in [ France ]\nThere are Incheon, Incheon, Rome. Which is different? The city in [ Italy ]\nThere are Munich, Bangkok, Bangkok. Which is different? The city in [ German ]\n"}
{"task_id": "task63", "texts": "\nThere are Busan, Busan, Valencia. Which is different? The city in Spain\nThere are Madrid, Vancouver, Vancouver. Which is different? The city in Spain\nThere are Munich, Mumbai, Munich. Which is different? The city in [ India ]\nThere are Canberra, Manchester, Manchester. Which is different? The city in [ Australia ]\nThere are Brisbane, Bangkok, Brisbane. Which is different? The city in [ Thailand ]\nThere are Florence, Florence, Los Angeles. Which is different? The city in [ the United States ]\nThere are Birmingham, Busan, Busan. Which is different? The city in [ the United Kingdom ]\nThere are Madrid, Madrid, Rome. Which is different? The city in [ Italy ]\n"}
{"task_id": "task63", "texts": "\nThere are Kyoto, Marseille, Marseille. Which is different? The city in Japan\nThere are Marseille, Bangkok, Marseille. Which is different? The city in Thailand\nThere are Sydney, Sydney, Incheon. Which is different? The city in [ South Korea ]\nThere are Hamburg, Hamburg, Bern. Which is different? The city in [ Switzerland ]\nThere are Incheon, Paris, Incheon. Which is different? The city in [ France ]\nThere are Munich, Munich, Manchester. Which is different? The city in [ the United Kingdom ]\nThere are Milan, New York, New York. Which is different? The city in [ Italy ]\nThere are Busan, Berlin, Busan. Which is different? The city in [ German ]\n"}
{"task_id": "task63", "texts": "\nThere are Vancouver, Vancouver, Moscow. Which is different? The city in Russia\nThere are Geneva, Geneva, Busan. Which is different? The city in South Korea\nThere are Valencia, Milan, Milan. Which is different? The city in [ Spain ]\nThere are Incheon, Paris, Paris. Which is different? The city in [ South Korea ]\nThere are Lyon, Lyon, Manchester. Which is different? The city in [ the United Kingdom ]\nThere are Geneva, Florence, Geneva. Which is different? The city in [ Italy ]\nThere are Paris, Bern, Paris. Which is different? The city in [ Switzerland ]\nThere are Marseille, Marseille, Mumbai. Which is different? The city in [ India ]\n"}
{"task_id": "task63", "texts": "\nThere are Seoul, Lyon, Lyon. Which is different? The city in South Korea\nThere are Kyoto, Vancouver, Vancouver. Which is different? The city in Japan\nThere are Shanghai, Kyoto, Shanghai. Which is different? The city in [ Japan ]\nThere are Canberra, Canberra, Rio de Janeiro. Which is different? The city in [ Brazil ]\nThere are Moscow, Bangalore, Bangalore. Which is different? The city in [ Russia ]\nThere are Barcelona, Barcelona, Sydney. Which is different? The city in [ Australia ]\nThere are Milan, Chiang Mai, Milan. Which is different? The city in [ Thailand ]\nThere are Bras\u00edlia, Venice, Venice. Which is different? The city in [ Brazil ]\n"}
{"task_id": "task63", "texts": "\nThere are Birmingham, Beijing, Birmingham. Which is different? The city in China\nThere are Birmingham, Barcelona, Birmingham. Which is different? The city in Spain\nThere are Madrid, Sao Paulo, Madrid. Which is different? The city in [ Brazil ]\nThere are Tokyo, Tokyo, Geneva. Which is different? The city in [ Switzerland ]\nThere are Chiang Mai, Lyon, Lyon. Which is different? The city in [ Thailand ]\nThere are Sao Paulo, Barcelona, Barcelona. Which is different? The city in [ Brazil ]\nThere are Barcelona, Vancouver, Vancouver. Which is different? The city in [ Spain ]\nThere are Lyon, Lyon, Incheon. Which is different? The city in [ South Korea ]\n"}
{"task_id": "task63", "texts": "\nThere are Seoul, Canberra, Seoul. Which is different? The city in Australia\nThere are Geneva, Marseille, Marseille. Which is different? The city in Switzerland\nThere are New York, Canberra, New York. Which is different? The city in [ Australia ]\nThere are Incheon, Geneva, Incheon. Which is different? The city in [ Switzerland ]\nThere are Munich, Munich, Kyoto. Which is different? The city in [ Japan ]\nThere are Zurich, Zurich, Florence. Which is different? The city in [ Italy ]\nThere are Novosibirsk, London, London. Which is different? The city in [ Russia ]\nThere are Busan, Busan, Birmingham. Which is different? The city in [ the United Kingdom ]\n"}
{"task_id": "task63", "texts": "\nThere are Mumbai, Mumbai, Washington, D.C. Which is different? The city in the United States\nThere are Geneva, Geneva, Florence. Which is different? The city in Italy\nThere are Rio de Janeiro, Bern, Bern. Which is different? The city in [ Brazil ]\nThere are Toronto, Toronto, Pattaya. Which is different? The city in [ Thailand ]\nThere are Madrid, Los Angeles, Madrid. Which is different? The city in [ the United States ]\nThere are Sao Paulo, New Delhi, Sao Paulo. Which is different? The city in [ India ]\nThere are Canberra, Manchester, Manchester. Which is different? The city in [ Australia ]\nThere are Mumbai, Barcelona, Barcelona. Which is different? The city in [ India ]\n"}
{"task_id": "task63", "texts": "\nThere are Berlin, Birmingham, Berlin. Which is different? The city in the United Kingdom\nThere are Bern, Brisbane, Brisbane. Which is different? The city in Switzerland\nThere are New York, Canberra, Canberra. Which is different? The city in [ the United States ]\nThere are Bern, Bern, Marseille. Which is different? The city in [ France ]\nThere are New Delhi, Milan, New Delhi. Which is different? The city in [ Italy ]\nThere are London, London, Valencia. Which is different? The city in [ Spain ]\nThere are Bangalore, Tokyo, Tokyo. Which is different? The city in [ India ]\nThere are Sao Paulo, Novosibirsk, Novosibirsk. Which is different? The city in [ Brazil ]\n"}
{"task_id": "task63", "texts": "\nThere are Berlin, Zurich, Zurich. Which is different? The city in German\nThere are Valencia, Valencia, Rio de Janeiro. Which is different? The city in Brazil\nThere are Bangalore, Bangalore, Marseille. Which is different? The city in [ France ]\nThere are Rome, Saint Petersburg, Rome. Which is different? The city in [ Russia ]\nThere are Moscow, Tokyo, Moscow. Which is different? The city in [ Japan ]\nThere are Bangalore, Guangzhou, Guangzhou. Which is different? The city in [ India ]\nThere are Washington, D.C, Barcelona, Washington, D.C. Which is different? The city in [ Spain ]\nThere are Geneva, Geneva, Toronto. Which is different? The city in [ Canada ]\n"}
{"task_id": "task63", "texts": "\nThere are Tokyo, Shanghai, Shanghai. Which is different? The city in Japan\nThere are Bras\u00edlia, Bras\u00edlia, Paris. Which is different? The city in France\nThere are Canberra, Ottawa, Canberra. Which is different? The city in [ Canada ]\nThere are Florence, Barcelona, Florence. Which is different? The city in [ Spain ]\nThere are Busan, Chiang Mai, Chiang Mai. Which is different? The city in [ South Korea ]\nThere are Seoul, Tokyo, Tokyo. Which is different? The city in [ South Korea ]\nThere are Rio de Janeiro, London, Rio de Janeiro. Which is different? The city in [ the United Kingdom ]\nThere are Osaka, Osaka, Moscow. Which is different? The city in [ Russia ]\n"}
{"task_id": "task63", "texts": "\nThere are Rio de Janeiro, Canberra, Rio de Janeiro. Which is different? The city in Australia\nThere are Milan, Zurich, Zurich. Which is different? The city in Italy\nThere are Shanghai, Lyon, Lyon. Which is different? The city in [ China ]\nThere are Munich, Munich, Los Angeles. Which is different? The city in [ the United States ]\nThere are Kyoto, Lyon, Kyoto. Which is different? The city in [ France ]\nThere are Kyoto, Kyoto, Beijing. Which is different? The city in [ China ]\nThere are Los Angeles, Los Angeles, Valencia. Which is different? The city in [ Spain ]\nThere are Kyoto, Sao Paulo, Sao Paulo. Which is different? The city in [ Japan ]\n"}
{"task_id": "task64", "texts": "\nThere are a bicycle, a telephone, a telephone. Which is not telephone? The bicycle\nThere are a calculator, a pot, a pot. Which is not pot? The calculator\nThere are a calculator, a piano, a piano. Which is not piano? The [ calculator ]\nThere are pencils, a bicycle, pencils. Which is not pencil? The [ bicycle ]\nThere are a dagger, a dagger, pencils. Which is not dagger? The [ pencil ]\nThere are goggles, a truck, a truck. Which is not truck? The [ goggles ]\nThere are a helicopter, a pen, a helicopter. Which is not helicopter? The [ pen ]\nThere are a pen, a pen, an oven. Which is not pen? The [ oven ]\n"}
{"task_id": "task64", "texts": "\nThere are a pot, a pot, a roller. Which is not pot? The roller\nThere are a broom, goggles, a broom. Which is not broom? The goggles\nThere are a telegraph, a telegraph, a car. Which is not telegraph? The [ car ]\nThere are a piano, a piano, an oven. Which is not piano? The [ oven ]\nThere are spray, a calculator, spray. Which is not spray? The [ calculator ]\nThere are a vacuum cleaner, a guitar, a guitar. Which is not guitar? The [ vacuum cleaner ]\nThere are a piano, a car, a car. Which is not car? The [ piano ]\nThere are a brush, a motorcycle, a brush. Which is not brush? The [ motorcycle ]\n"}
{"task_id": "task64", "texts": "\nThere are a telegraph, a gun, a telegraph. Which is not telegraph? The gun\nThere are a knife, a violin, a violin. Which is not violin? The knife\nThere are spray, spray, a radio. Which is not spray? The [ radio ]\nThere are a gun, a biro, a gun. Which is not gun? The [ biro ]\nThere are a car, a car, a gun. Which is not car? The [ gun ]\nThere are pencils, a motorcycle, a motorcycle. Which is not motorcycle? The [ pencil ]\nThere are swim fins, chalk, swim fins. Which is not swim fins? The [ chalk ]\nThere are a bicycle, a jeep, a bicycle. Which is not bicycle? The [ jeep ]\n"}
{"task_id": "task64", "texts": "\nThere are a phone, a swimsuit, a phone. Which is not phone? The swimsuit\nThere are pencils, a motorcycle, a motorcycle. Which is not motorcycle? The pencil\nThere are a pen, a pen, a car. Which is not pen? The [ car ]\nThere are a truck, a truck, a gun. Which is not truck? The [ gun ]\nThere are a computer, a computer, a jeep. Which is not computer? The [ jeep ]\nThere are a palette, a palette, pencils. Which is not palette? The [ pencil ]\nThere are a bicycle, a computer, a computer. Which is not computer? The [ bicycle ]\nThere are a vacuum cleaner, a roller, a vacuum cleaner. Which is not vacuum cleaner? The [ roller ]\n"}
{"task_id": "task64", "texts": "\nThere are a phone, a phone, a horse. Which is not phone? The horse\nThere are a telegraph, a computer, a computer. Which is not computer? The telegraph\nThere are a telegraph, a biro, a telegraph. Which is not telegraph? The [ biro ]\nThere are a brush, a swimsuit, a swimsuit. Which is not swimsuit? The [ brush ]\nThere are a horse, a vacuum cleaner, a horse. Which is not horse? The [ vacuum cleaner ]\nThere are a pot, a jeep, a pot. Which is not pot? The [ jeep ]\nThere are a plane, a vacuum cleaner, a vacuum cleaner. Which is not vacuum cleaner? The [ plane ]\nThere are a telephone, a telephone, a roller. Which is not telephone? The [ roller ]\n"}
{"task_id": "task64", "texts": "\nThere are a telephone, swim fins, swim fins. Which is not swim fins? The telephone\nThere are a mop, a car, a car. Which is not car? The mop\nThere are a violin, a violin, a pot. Which is not violin? The [ pot ]\nThere are goggles, a bicycle, a bicycle. Which is not bicycle? The [ goggles ]\nThere are a broom, goggles, goggles. Which is not goggles? The [ broom ]\nThere are a truck, a gun, a truck. Which is not truck? The [ gun ]\nThere are a telephone, a telephone, an abacus. Which is not telephone? The [ abacus ]\nThere are a pan, a car, a pan. Which is not pan? The [ car ]\n"}
{"task_id": "task64", "texts": "\nThere are a biro, a biro, a dagger. Which is not biro? The dagger\nThere are chalk, a dagger, chalk. Which is not chalk? The dagger\nThere are chalk, a palette, chalk. Which is not chalk? The [ palette ]\nThere are a vacuum cleaner, a vacuum cleaner, swim fins. Which is not vacuum cleaner? The [ swim fins ]\nThere are a radio, a roller, a radio. Which is not radio? The [ roller ]\nThere are a glider, a pot, a pot. Which is not pot? The [ glider ]\nThere are a glider, a pen, a pen. Which is not pen? The [ glider ]\nThere are a radio, a brush, a brush. Which is not brush? The [ radio ]\n"}
{"task_id": "task64", "texts": "\nThere are a biro, a bicycle, a biro. Which is not biro? The bicycle\nThere are a pot, a pot, a violin. Which is not pot? The violin\nThere are a pot, a swimsuit, a pot. Which is not pot? The [ swimsuit ]\nThere are a bicycle, a bicycle, spray. Which is not bicycle? The [ spray ]\nThere are spray, an abacus, an abacus. Which is not abacus? The [ spray ]\nThere are spray, a biro, spray. Which is not spray? The [ biro ]\nThere are a jeep, a gun, a gun. Which is not gun? The [ jeep ]\nThere are a horse, a broom, a broom. Which is not broom? The [ horse ]\n"}
{"task_id": "task64", "texts": "\nThere are a gun, a radio, a gun. Which is not gun? The radio\nThere are a helicopter, a knife, a knife. Which is not knife? The helicopter\nThere are a vacuum cleaner, a telephone, a telephone. Which is not telephone? The [ vacuum cleaner ]\nThere are a pot, a pot, a glider. Which is not pot? The [ glider ]\nThere are a violin, a knife, a knife. Which is not knife? The [ violin ]\nThere are a piano, a horse, a piano. Which is not piano? The [ horse ]\nThere are a vacuum cleaner, a vacuum cleaner, a pan. Which is not vacuum cleaner? The [ pan ]\nThere are a telephone, a computer, a telephone. Which is not telephone? The [ computer ]\n"}
{"task_id": "task64", "texts": "\nThere are a pan, pencils, a pan. Which is not pan? The pencil\nThere are chalk, a telegraph, chalk. Which is not chalk? The telegraph\nThere are chalk, chalk, a roller. Which is not chalk? The [ roller ]\nThere are a motorcycle, a motorcycle, a violin. Which is not motorcycle? The [ violin ]\nThere are a telephone, chalk, chalk. Which is not chalk? The [ telephone ]\nThere are a gun, a computer, a computer. Which is not computer? The [ gun ]\nThere are goggles, a knife, a knife. Which is not knife? The [ goggles ]\nThere are spray, a bicycle, a bicycle. Which is not bicycle? The [ spray ]\n"}
{"task_id": "task64", "texts": "\nThere are a phone, a brush, a phone. Which is not phone? The brush\nThere are a roller, a truck, a truck. Which is not truck? The roller\nThere are a plane, a guitar, a guitar. Which is not guitar? The [ plane ]\nThere are a roller, a roller, a bicycle. Which is not roller? The [ bicycle ]\nThere are a calculator, a phone, a calculator. Which is not calculator? The [ phone ]\nThere are a pen, a pen, a roller. Which is not pen? The [ roller ]\nThere are an abacus, an oven, an oven. Which is not oven? The [ abacus ]\nThere are a truck, swim fins, swim fins. Which is not swim fins? The [ truck ]\n"}
{"task_id": "task64", "texts": "\nThere are a computer, goggles, a computer. Which is not computer? The goggles\nThere are a calculator, a calculator, a roller. Which is not calculator? The roller\nThere are a brush, an oven, a brush. Which is not brush? The [ oven ]\nThere are a piano, a piano, a pot. Which is not piano? The [ pot ]\nThere are a horse, a gun, a gun. Which is not gun? The [ horse ]\nThere are a telegraph, a telegraph, a vacuum cleaner. Which is not telegraph? The [ vacuum cleaner ]\nThere are chalk, a swimsuit, a swimsuit. Which is not swimsuit? The [ chalk ]\nThere are goggles, a telegraph, goggles. Which is not goggles? The [ telegraph ]\n"}
{"task_id": "task65", "texts": "\nThere are a bicycle, a telephone, a telephone. Which is different? The bicycle\nThere are a calculator, a pot, a pot. Which is different? The calculator\nThere are a calculator, a piano, a piano. Which is different? The [ calculator ]\nThere are pencils, a bicycle, pencils. Which is different? The [ bicycle ]\nThere are a dagger, a dagger, pencils. Which is different? The [ pencil ]\nThere are goggles, a truck, a truck. Which is different? The [ goggles ]\nThere are a helicopter, a pen, a helicopter. Which is different? The [ pen ]\nThere are a pen, a pen, an oven. Which is different? The [ oven ]\n"}
{"task_id": "task65", "texts": "\nThere are a pot, a pot, a roller. Which is different? The roller\nThere are a broom, goggles, a broom. Which is different? The goggles\nThere are a telegraph, a telegraph, a car. Which is different? The [ car ]\nThere are a piano, a piano, an oven. Which is different? The [ oven ]\nThere are spray, a calculator, spray. Which is different? The [ calculator ]\nThere are a vacuum cleaner, a guitar, a guitar. Which is different? The [ vacuum cleaner ]\nThere are a piano, a car, a car. Which is different? The [ piano ]\nThere are a brush, a motorcycle, a brush. Which is different? The [ motorcycle ]\n"}
{"task_id": "task65", "texts": "\nThere are a telegraph, a gun, a telegraph. Which is different? The gun\nThere are a knife, a violin, a violin. Which is different? The knife\nThere are spray, spray, a radio. Which is different? The [ radio ]\nThere are a gun, a biro, a gun. Which is different? The [ biro ]\nThere are a car, a car, a gun. Which is different? The [ gun ]\nThere are pencils, a motorcycle, a motorcycle. Which is different? The [ pencil ]\nThere are swim fins, chalk, swim fins. Which is different? The [ chalk ]\nThere are a bicycle, a jeep, a bicycle. Which is different? The [ jeep ]\n"}
{"task_id": "task65", "texts": "\nThere are a phone, a swimsuit, a phone. Which is different? The swimsuit\nThere are pencils, a motorcycle, a motorcycle. Which is different? The pencil\nThere are a pen, a pen, a car. Which is different? The [ car ]\nThere are a truck, a truck, a gun. Which is different? The [ gun ]\nThere are a computer, a computer, a jeep. Which is different? The [ jeep ]\nThere are a palette, a palette, pencils. Which is different? The [ pencil ]\nThere are a bicycle, a computer, a computer. Which is different? The [ bicycle ]\nThere are a vacuum cleaner, a roller, a vacuum cleaner. Which is different? The [ roller ]\n"}
{"task_id": "task65", "texts": "\nThere are a phone, a phone, a horse. Which is different? The horse\nThere are a telegraph, a computer, a computer. Which is different? The telegraph\nThere are a telegraph, a biro, a telegraph. Which is different? The [ biro ]\nThere are a brush, a swimsuit, a swimsuit. Which is different? The [ brush ]\nThere are a horse, a vacuum cleaner, a horse. Which is different? The [ vacuum cleaner ]\nThere are a pot, a jeep, a pot. Which is different? The [ jeep ]\nThere are a plane, a vacuum cleaner, a vacuum cleaner. Which is different? The [ plane ]\nThere are a telephone, a telephone, a roller. Which is different? The [ roller ]\n"}
{"task_id": "task65", "texts": "\nThere are a telephone, swim fins, swim fins. Which is different? The telephone\nThere are a mop, a car, a car. Which is different? The mop\nThere are a violin, a violin, a pot. Which is different? The [ pot ]\nThere are goggles, a bicycle, a bicycle. Which is different? The [ goggles ]\nThere are a broom, goggles, goggles. Which is different? The [ broom ]\nThere are a truck, a gun, a truck. Which is different? The [ gun ]\nThere are a telephone, a telephone, an abacus. Which is different? The [ abacus ]\nThere are a pan, a car, a pan. Which is different? The [ car ]\n"}
{"task_id": "task65", "texts": "\nThere are a biro, a biro, a dagger. Which is different? The dagger\nThere are chalk, a dagger, chalk. Which is different? The dagger\nThere are chalk, a palette, chalk. Which is different? The [ palette ]\nThere are a vacuum cleaner, a vacuum cleaner, swim fins. Which is different? The [ swim fins ]\nThere are a radio, a roller, a radio. Which is different? The [ roller ]\nThere are a glider, a pot, a pot. Which is different? The [ glider ]\nThere are a glider, a pen, a pen. Which is different? The [ glider ]\nThere are a radio, a brush, a brush. Which is different? The [ radio ]\n"}
{"task_id": "task65", "texts": "\nThere are a biro, a bicycle, a biro. Which is different? The bicycle\nThere are a pot, a pot, a violin. Which is different? The violin\nThere are a pot, a swimsuit, a pot. Which is different? The [ swimsuit ]\nThere are a bicycle, a bicycle, spray. Which is different? The [ spray ]\nThere are spray, an abacus, an abacus. Which is different? The [ spray ]\nThere are spray, a biro, spray. Which is different? The [ biro ]\nThere are a jeep, a gun, a gun. Which is different? The [ jeep ]\nThere are a horse, a broom, a broom. Which is different? The [ horse ]\n"}
{"task_id": "task65", "texts": "\nThere are a gun, a radio, a gun. Which is different? The radio\nThere are a helicopter, a knife, a knife. Which is different? The helicopter\nThere are a vacuum cleaner, a telephone, a telephone. Which is different? The [ vacuum cleaner ]\nThere are a pot, a pot, a glider. Which is different? The [ glider ]\nThere are a violin, a knife, a knife. Which is different? The [ violin ]\nThere are a piano, a horse, a piano. Which is different? The [ horse ]\nThere are a vacuum cleaner, a vacuum cleaner, a pan. Which is different? The [ pan ]\nThere are a telephone, a computer, a telephone. Which is different? The [ computer ]\n"}
{"task_id": "task65", "texts": "\nThere are a pan, pencils, a pan. Which is different? The pencil\nThere are chalk, a telegraph, chalk. Which is different? The telegraph\nThere are chalk, chalk, a roller. Which is different? The [ roller ]\nThere are a motorcycle, a motorcycle, a violin. Which is different? The [ violin ]\nThere are a telephone, chalk, chalk. Which is different? The [ telephone ]\nThere are a gun, a computer, a computer. Which is different? The [ gun ]\nThere are goggles, a knife, a knife. Which is different? The [ goggles ]\nThere are spray, a bicycle, a bicycle. Which is different? The [ spray ]\n"}
{"task_id": "task65", "texts": "\nThere are a phone, a brush, a phone. Which is different? The brush\nThere are a roller, a truck, a truck. Which is different? The roller\nThere are a plane, a guitar, a guitar. Which is different? The [ plane ]\nThere are a roller, a roller, a bicycle. Which is different? The [ bicycle ]\nThere are a calculator, a phone, a calculator. Which is different? The [ phone ]\nThere are a pen, a pen, a roller. Which is different? The [ roller ]\nThere are an abacus, an oven, an oven. Which is different? The [ abacus ]\nThere are a truck, swim fins, swim fins. Which is different? The [ truck ]\n"}
{"task_id": "task65", "texts": "\nThere are a computer, goggles, a computer. Which is different? The goggles\nThere are a calculator, a calculator, a roller. Which is different? The roller\nThere are a brush, an oven, a brush. Which is different? The [ oven ]\nThere are a piano, a piano, a pot. Which is different? The [ pot ]\nThere are a horse, a gun, a gun. Which is different? The [ horse ]\nThere are a telegraph, a telegraph, a vacuum cleaner. Which is different? The [ vacuum cleaner ]\nThere are chalk, a swimsuit, a swimsuit. Which is different? The [ chalk ]\nThere are goggles, a telegraph, goggles. Which is different? The [ telegraph ]\n"}
{"task_id": "task66", "texts": "\nThere are a bicycle, a telephone, a telephone. Which is not telephone? The thing that can ride\nThere are a calculator, a pot, a pot. Which is not pot? The thing that can calculate\nThere are a calculator, a piano, a piano. Which is not piano? The thing that can [ calculate ]\nThere are pencils, a bicycle, pencils. Which is not pencil? The thing that can [ ride ]\nThere are a dagger, a dagger, pencils. Which is not dagger? The thing that can [ write ]\nThere are goggles, a truck, a truck. Which is not truck? The thing that can [ swim ]\nThere are a helicopter, a pen, a helicopter. Which is not helicopter? The thing that can [ write ]\nThere are a pen, a pen, an oven. Which is not pen? The thing that can [ cook ]\n"}
{"task_id": "task66", "texts": "\nThere are a pot, a pot, a roller. Which is not pot? The thing that can paint\nThere are a broom, goggles, a broom. Which is not broom? The thing that can swim\nThere are a telegraph, a telegraph, a car. Which is not telegraph? The thing that can [ drive ]\nThere are a piano, a piano, an oven. Which is not piano? The thing that can [ cook ]\nThere are spray, a calculator, spray. Which is not spray? The thing that can [ calculate ]\nThere are a vacuum cleaner, a guitar, a guitar. Which is not guitar? The thing that can [ clean ]\nThere are a piano, a car, a car. Which is not car? The thing that can [ play ]\nThere are a brush, a motorcycle, a brush. Which is not brush? The thing that can [ ride ]\n"}
{"task_id": "task66", "texts": "\nThere are a horse, a calculator, a horse. Which is not horse? The thing that can calculate\nThere are a computer, a telegraph, a computer. Which is not computer? The thing that can communicate\nThere are a violin, a roller, a roller. Which is not roller? The thing that can [ play ]\nThere are a plane, a plane, spray. Which is not plane? The thing that can [ paint ]\nThere are chalk, chalk, a swimsuit. Which is not chalk? The thing that can [ swim ]\nThere are a motorcycle, a telegraph, a motorcycle. Which is not motorcycle? The thing that can [ communicate ]\nThere are goggles, goggles, an oven. Which is not goggles? The thing that can [ cook ]\nThere are a helicopter, a knife, a knife. Which is not knife? The thing that can [ fly ]\n"}
{"task_id": "task66", "texts": "\nThere are a knife, a mop, a mop. Which is not mop? The thing that can kill\nThere are pencils, a jeep, a jeep. Which is not jeep? The thing that can write\nThere are a palette, a pan, a pan. Which is not pan? The thing that can [ paint ]\nThere are a violin, a horse, a horse. Which is not horse? The thing that can [ play ]\nThere are a biro, a bicycle, a biro. Which is not biro? The thing that can [ ride ]\nThere are a pot, a pot, a violin. Which is not pot? The thing that can [ play ]\nThere are a pot, a swimsuit, a pot. Which is not pot? The thing that can [ swim ]\nThere are a bicycle, a bicycle, spray. Which is not bicycle? The thing that can [ paint ]\n"}
{"task_id": "task66", "texts": "\nThere are chalk, a horse, a horse. Which is not horse? The thing that can write\nThere are a gun, a gun, a brush. Which is not gun? The thing that can paint\nThere are a swimsuit, a bicycle, a bicycle. Which is not bicycle? The thing that can [ swim ]\nThere are a plane, a guitar, a plane. Which is not plane? The thing that can [ play ]\nThere are a swimsuit, pencils, a swimsuit. Which is not swimsuit? The thing that can [ write ]\nThere are a mop, a mop, a pan. Which is not mop? The thing that can [ cook ]\nThere are spray, spray, a telephone. Which is not spray? The thing that can [ communicate ]\nThere are a pen, a radio, a pen. Which is not pen? The thing that can [ communicate ]\n"}
{"task_id": "task66", "texts": "\nThere are a helicopter, a piano, a helicopter. Which is not helicopter? The thing that can play\nThere are a pan, a pan, a vacuum cleaner. Which is not pan? The thing that can clean\nThere are a jeep, a jeep, goggles. Which is not jeep? The thing that can [ swim ]\nThere are a brush, a telephone, a telephone. Which is not telephone? The thing that can [ paint ]\nThere are a pot, a pot, a mop. Which is not pot? The thing that can [ clean ]\nThere are a telephone, a horse, a telephone. Which is not telephone? The thing that can [ ride ]\nThere are a gun, a pan, a gun. Which is not gun? The thing that can [ cook ]\nThere are a telephone, a motorcycle, a motorcycle. Which is not motorcycle? The thing that can [ communicate ]\n"}
{"task_id": "task66", "texts": "\nThere are a car, a car, a swimsuit. Which is not car? The thing that can swim\nThere are an oven, a guitar, a guitar. Which is not guitar? The thing that can cook\nThere are a palette, a pen, a palette. Which is not palette? The thing that can [ write ]\nThere are a jeep, a jeep, a telephone. Which is not jeep? The thing that can [ communicate ]\nThere are a glider, a glider, a gun. Which is not glider? The thing that can [ kill ]\nThere are a pen, a computer, a computer. Which is not computer? The thing that can [ write ]\nThere are a truck, a helicopter, a truck. Which is not truck? The thing that can [ fly ]\nThere are a telegraph, a dagger, a dagger. Which is not dagger? The thing that can [ communicate ]\n"}
{"task_id": "task66", "texts": "\nThere are a radio, a car, a radio. Which is not radio? The thing that can drive\nThere are goggles, goggles, an oven. Which is not goggles? The thing that can cook\nThere are a broom, a telephone, a broom. Which is not broom? The thing that can [ communicate ]\nThere are a phone, a phone, pencils. Which is not phone? The thing that can [ write ]\nThere are spray, a bicycle, a bicycle. Which is not bicycle? The thing that can [ paint ]\nThere are a biro, a biro, a horse. Which is not biro? The thing that can [ ride ]\nThere are a biro, a pot, a pot. Which is not pot? The thing that can [ write ]\nThere are a calculator, a violin, a violin. Which is not violin? The thing that can [ calculate ]\n"}
{"task_id": "task66", "texts": "\nThere are a violin, a swimsuit, a swimsuit. Which is not swimsuit? The thing that can play\nThere are swim fins, a roller, swim fins. Which is not swim fins? The thing that can paint\nThere are a bicycle, a mop, a bicycle. Which is not bicycle? The thing that can [ clean ]\nThere are a brush, a brush, an oven. Which is not brush? The thing that can [ cook ]\nThere are a piano, a piano, a telegraph. Which is not piano? The thing that can [ communicate ]\nThere are a gun, a telegraph, a telegraph. Which is not telegraph? The thing that can [ kill ]\nThere are a dagger, a car, a dagger. Which is not dagger? The thing that can [ drive ]\nThere are a motorcycle, swim fins, swim fins. Which is not swim fins? The thing that can [ ride ]\n"}
{"task_id": "task66", "texts": "\nThere are a motorcycle, a piano, a motorcycle. Which is not motorcycle? The thing that can play\nThere are a knife, a knife, a bicycle. Which is not knife? The thing that can ride\nThere are a mop, a violin, a violin. Which is not violin? The thing that can [ clean ]\nThere are a brush, a plane, a brush. Which is not brush? The thing that can [ fly ]\nThere are a swimsuit, a gun, a swimsuit. Which is not swimsuit? The thing that can [ kill ]\nThere are a helicopter, a pot, a pot. Which is not pot? The thing that can [ fly ]\nThere are a knife, a roller, a roller. Which is not roller? The thing that can [ kill ]\nThere are goggles, goggles, a jeep. Which is not goggles? The thing that can [ drive ]\n"}
{"task_id": "task66", "texts": "\nThere are a biro, an abacus, a biro. Which is not biro? The thing that can calculate\nThere are an oven, a jeep, an oven. Which is not oven? The thing that can drive\nThere are a dagger, pencils, pencils. Which is not pencil? The thing that can [ kill ]\nThere are a broom, a plane, a plane. Which is not plane? The thing that can [ clean ]\nThere are a pot, a swimsuit, a swimsuit. Which is not swimsuit? The thing that can [ cook ]\nThere are an oven, an oven, goggles. Which is not oven? The thing that can [ swim ]\nThere are swim fins, a violin, a violin. Which is not violin? The thing that can [ swim ]\nThere are a telegraph, a telegraph, a biro. Which is not telegraph? The thing that can [ write ]\n"}
{"task_id": "task66", "texts": "\nThere are a violin, a violin, a pot. Which is not violin? The thing that can cook\nThere are a motorcycle, a brush, a brush. Which is not brush? The thing that can ride\nThere are a car, pencils, a car. Which is not car? The thing that can [ write ]\nThere are a pan, a pan, a jeep. Which is not pan? The thing that can [ drive ]\nThere are a radio, a radio, spray. Which is not radio? The thing that can [ paint ]\nThere are pencils, a dagger, pencils. Which is not pencil? The thing that can [ kill ]\nThere are a calculator, a calculator, a car. Which is not calculator? The thing that can [ drive ]\nThere are pencils, a horse, a horse. Which is not horse? The thing that can [ write ]\n"}
{"task_id": "task67", "texts": "\nThere are a bicycle, a telephone, a telephone. Which is different? The thing that can ride\nThere are a calculator, a pot, a pot. Which is different? The thing that can calculate\nThere are a calculator, a piano, a piano. Which is different? The thing that can [ calculate ]\nThere are pencils, a bicycle, pencils. Which is different? The thing that can [ ride ]\nThere are a dagger, a dagger, pencils. Which is different? The thing that can [ write ]\nThere are goggles, a truck, a truck. Which is different? The thing that can [ swim ]\nThere are a helicopter, a pen, a helicopter. Which is different? The thing that can [ write ]\nThere are a pen, a pen, an oven. Which is different? The thing that can [ cook ]\n"}
{"task_id": "task67", "texts": "\nThere are a pot, a pot, a roller. Which is different? The thing that can paint\nThere are a broom, goggles, a broom. Which is different? The thing that can swim\nThere are a telegraph, a telegraph, a car. Which is different? The thing that can [ drive ]\nThere are a piano, a piano, an oven. Which is different? The thing that can [ cook ]\nThere are spray, a calculator, spray. Which is different? The thing that can [ calculate ]\nThere are a vacuum cleaner, a guitar, a guitar. Which is different? The thing that can [ clean ]\nThere are a piano, a car, a car. Which is different? The thing that can [ play ]\nThere are a brush, a motorcycle, a brush. Which is different? The thing that can [ ride ]\n"}
{"task_id": "task67", "texts": "\nThere are a horse, a calculator, a horse. Which is different? The thing that can calculate\nThere are a computer, a telegraph, a computer. Which is different? The thing that can communicate\nThere are a violin, a roller, a roller. Which is different? The thing that can [ play ]\nThere are a plane, a plane, spray. Which is different? The thing that can [ paint ]\nThere are chalk, chalk, a swimsuit. Which is different? The thing that can [ swim ]\nThere are a motorcycle, a telegraph, a motorcycle. Which is different? The thing that can [ communicate ]\nThere are goggles, goggles, an oven. Which is different? The thing that can [ cook ]\nThere are a helicopter, a knife, a knife. Which is different? The thing that can [ fly ]\n"}
{"task_id": "task67", "texts": "\nThere are a knife, a mop, a mop. Which is different? The thing that can kill\nThere are pencils, a jeep, a jeep. Which is different? The thing that can write\nThere are a palette, a pan, a pan. Which is different? The thing that can [ paint ]\nThere are a violin, a horse, a horse. Which is different? The thing that can [ play ]\nThere are a biro, a bicycle, a biro. Which is different? The thing that can [ ride ]\nThere are a pot, a pot, a violin. Which is different? The thing that can [ play ]\nThere are a pot, a swimsuit, a pot. Which is different? The thing that can [ swim ]\nThere are a bicycle, a bicycle, spray. Which is different? The thing that can [ paint ]\n"}
{"task_id": "task67", "texts": "\nThere are chalk, a horse, a horse. Which is different? The thing that can write\nThere are a gun, a gun, a brush. Which is different? The thing that can paint\nThere are a swimsuit, a bicycle, a bicycle. Which is different? The thing that can [ swim ]\nThere are a plane, a guitar, a plane. Which is different? The thing that can [ play ]\nThere are a swimsuit, pencils, a swimsuit. Which is different? The thing that can [ write ]\nThere are a mop, a mop, a pan. Which is different? The thing that can [ cook ]\nThere are spray, spray, a telephone. Which is different? The thing that can [ communicate ]\nThere are a pen, a radio, a pen. Which is different? The thing that can [ communicate ]\n"}
{"task_id": "task67", "texts": "\nThere are a helicopter, a piano, a helicopter. Which is different? The thing that can play\nThere are a pan, a pan, a vacuum cleaner. Which is different? The thing that can clean\nThere are a jeep, a jeep, goggles. Which is different? The thing that can [ swim ]\nThere are a brush, a telephone, a telephone. Which is different? The thing that can [ paint ]\nThere are a pot, a pot, a mop. Which is different? The thing that can [ clean ]\nThere are a telephone, a horse, a telephone. Which is different? The thing that can [ ride ]\nThere are a gun, a pan, a gun. Which is different? The thing that can [ cook ]\nThere are a telephone, a motorcycle, a motorcycle. Which is different? The thing that can [ communicate ]\n"}
{"task_id": "task67", "texts": "\nThere are a car, a car, a swimsuit. Which is different? The thing that can swim\nThere are an oven, a guitar, a guitar. Which is different? The thing that can cook\nThere are a palette, a pen, a palette. Which is different? The thing that can [ write ]\nThere are a jeep, a jeep, a telephone. Which is different? The thing that can [ communicate ]\nThere are a glider, a glider, a gun. Which is different? The thing that can [ kill ]\nThere are a pen, a computer, a computer. Which is different? The thing that can [ write ]\nThere are a truck, a helicopter, a truck. Which is different? The thing that can [ fly ]\nThere are a telegraph, a dagger, a dagger. Which is different? The thing that can [ communicate ]\n"}
{"task_id": "task67", "texts": "\nThere are a radio, a car, a radio. Which is different? The thing that can drive\nThere are goggles, goggles, an oven. Which is different? The thing that can cook\nThere are a broom, a telephone, a broom. Which is different? The thing that can [ communicate ]\nThere are a phone, a phone, pencils. Which is different? The thing that can [ write ]\nThere are spray, a bicycle, a bicycle. Which is different? The thing that can [ paint ]\nThere are a biro, a biro, a horse. Which is different? The thing that can [ ride ]\nThere are a biro, a pot, a pot. Which is different? The thing that can [ write ]\nThere are a calculator, a violin, a violin. Which is different? The thing that can [ calculate ]\n"}
{"task_id": "task67", "texts": "\nThere are a violin, a swimsuit, a swimsuit. Which is different? The thing that can play\nThere are swim fins, a roller, swim fins. Which is different? The thing that can paint\nThere are a bicycle, a mop, a bicycle. Which is different? The thing that can [ clean ]\nThere are a brush, a brush, an oven. Which is different? The thing that can [ cook ]\nThere are a piano, a piano, a telegraph. Which is different? The thing that can [ communicate ]\nThere are a gun, a telegraph, a telegraph. Which is different? The thing that can [ kill ]\nThere are a dagger, a car, a dagger. Which is different? The thing that can [ drive ]\nThere are a motorcycle, swim fins, swim fins. Which is different? The thing that can [ ride ]\n"}
{"task_id": "task67", "texts": "\nThere are a motorcycle, a piano, a motorcycle. Which is different? The thing that can play\nThere are a knife, a knife, a bicycle. Which is different? The thing that can ride\nThere are a mop, a violin, a violin. Which is different? The thing that can [ clean ]\nThere are a brush, a plane, a brush. Which is different? The thing that can [ fly ]\nThere are a swimsuit, a gun, a swimsuit. Which is different? The thing that can [ kill ]\nThere are a helicopter, a pot, a pot. Which is different? The thing that can [ fly ]\nThere are a knife, a roller, a roller. Which is different? The thing that can [ kill ]\nThere are goggles, goggles, a jeep. Which is different? The thing that can [ drive ]\n"}
{"task_id": "task67", "texts": "\nThere are a biro, an abacus, a biro. Which is different? The thing that can calculate\nThere are an oven, a jeep, an oven. Which is different? The thing that can drive\nThere are a dagger, pencils, pencils. Which is different? The thing that can [ kill ]\nThere are a broom, a plane, a plane. Which is different? The thing that can [ clean ]\nThere are a pot, a swimsuit, a swimsuit. Which is different? The thing that can [ cook ]\nThere are an oven, an oven, goggles. Which is different? The thing that can [ swim ]\nThere are swim fins, a violin, a violin. Which is different? The thing that can [ swim ]\nThere are a telegraph, a telegraph, a biro. Which is different? The thing that can [ write ]\n"}
{"task_id": "task67", "texts": "\nThere are a violin, a violin, a pot. Which is different? The thing that can cook\nThere are a motorcycle, a brush, a brush. Which is different? The thing that can ride\nThere are a car, pencils, a car. Which is different? The thing that can [ write ]\nThere are a pan, a pan, a jeep. Which is different? The thing that can [ drive ]\nThere are a radio, a radio, spray. Which is different? The thing that can [ paint ]\nThere are pencils, a dagger, pencils. Which is different? The thing that can [ kill ]\nThere are a calculator, a calculator, a car. Which is different? The thing that can [ drive ]\nThere are pencils, a horse, a horse. Which is different? The thing that can [ write ]\n"}
{"task_id": "task68", "texts": "\nThere are weak, healthy, healthy. Which is not healthy? The opposite of strong\nThere are rich, dishonest, rich. Which is not rich? The opposite of honest\nThere are irrational, unlucky, irrational. Which is not irrational? The opposite of [ lucky ]\nThere are sick, sick, unreliable. Which is not sick? The opposite of [ reliable ]\nThere are lucky, lucky, popular. Which is not lucky? The opposite of [ unpopular ]\nThere are loyal, sad, sad. Which is not sad? The opposite of [ disloyal ]\nThere are unhealthy, unlucky, unlucky. Which is not unlucky? The opposite of [ healthy ]\nThere are comfortable, comfortable, ignorant. Which is not comfortable? The opposite of [ knowledgeable ]\n"}
{"task_id": "task68", "texts": "\nThere are incorrect, uncomfortable, incorrect. Which is not incorrect? The opposite of comfortable\nThere are disloyal, disloyal, ignorant. Which is not disloyal? The opposite of knowledgeable\nThere are cowardly, honest, cowardly. Which is not cowardly? The opposite of [ dishonest ]\nThere are brave, comfortable, comfortable. Which is not comfortable? The opposite of [ cowardly ]\nThere are knowledgeable, knowledgeable, correct. Which is not knowledgeable? The opposite of [ incorrect ]\nThere are careful, poor, careful. Which is not careful? The opposite of [ rich ]\nThere are unpopular, unpopular, lucky. Which is not unpopular? The opposite of [ unlucky ]\nThere are responsible, popular, popular. Which is not popular? The opposite of [ irresponsible ]\n"}
{"task_id": "task68", "texts": "\nThere are sick, boring, boring. Which is not boring? The opposite of healthy\nThere are poor, right, poor. Which is not poor? The opposite of wrong\nThere are responsible, dishonest, responsible. Which is not responsible? The opposite of [ honest ]\nThere are irresponsible, short, irresponsible. Which is not irresponsible? The opposite of [ tall ]\nThere are loyal, loyal, safe. Which is not loyal? The opposite of [ dangerous ]\nThere are poor, strong, strong. Which is not strong? The opposite of [ rich ]\nThere are loyal, loyal, popular. Which is not loyal? The opposite of [ unpopular ]\nThere are lucky, lucky, honest. Which is not lucky? The opposite of [ dishonest ]\n"}
{"task_id": "task68", "texts": "\nThere are cowardly, cowardly, friendly. Which is not cowardly? The opposite of unfriendly\nThere are unreliable, rational, unreliable. Which is not unreliable? The opposite of irrational\nThere are healthy, passive, passive. Which is not passive? The opposite of [ sick ]\nThere are dishonest, dishonest, incorrect. Which is not dishonest? The opposite of [ correct ]\nThere are friendly, safe, friendly. Which is not friendly? The opposite of [ dangerous ]\nThere are clean, rational, rational. Which is not rational? The opposite of [ dirty ]\nThere are unhealthy, tall, unhealthy. Which is not unhealthy? The opposite of [ short ]\nThere are ignorant, ignorant, irresponsible. Which is not ignorant? The opposite of [ responsible ]\n"}
{"task_id": "task68", "texts": "\nThere are unlucky, cowardly, unlucky. Which is not unlucky? The opposite of brave\nThere are incorrect, unpopular, unpopular. Which is not unpopular? The opposite of correct\nThere are ignorant, bad, ignorant. Which is not ignorant? The opposite of [ good ]\nThere are wrong, wrong, interesting. Which is not wrong? The opposite of [ boring ]\nThere are weak, boring, boring. Which is not boring? The opposite of [ strong ]\nThere are boring, careful, careful. Which is not careful? The opposite of [ interesting ]\nThere are dirty, beautiful, beautiful. Which is not beautiful? The opposite of [ clean ]\nThere are reliable, reliable, bad. Which is not reliable? The opposite of [ good ]\n"}
{"task_id": "task68", "texts": "\nThere are bad, tall, tall. Which is not tall? The opposite of good\nThere are uninteresting, unreliable, unreliable. Which is not unreliable? The opposite of interesting\nThere are boring, wrong, wrong. Which is not wrong? The opposite of [ interesting ]\nThere are rich, rich, slow. Which is not rich? The opposite of [ fast ]\nThere are incorrect, sick, incorrect. Which is not incorrect? The opposite of [ healthy ]\nThere are incorrect, incorrect, uncomfortable. Which is not incorrect? The opposite of [ comfortable ]\nThere are irresponsible, clean, clean. Which is not clean? The opposite of [ responsible ]\nThere are careless, optimistic, careless. Which is not careless? The opposite of [ pessimistic ]\n"}
{"task_id": "task68", "texts": "\nThere are poor, poor, unreliable. Which is not poor? The opposite of reliable\nThere are loyal, loyal, fast. Which is not loyal? The opposite of slow\nThere are reliable, beautiful, reliable. Which is not reliable? The opposite of [ ugly ]\nThere are dishonest, unfriendly, unfriendly. Which is not unfriendly? The opposite of [ honest ]\nThere are healthy, rich, healthy. Which is not healthy? The opposite of [ poor ]\nThere are pessimistic, sick, pessimistic. Which is not pessimistic? The opposite of [ healthy ]\nThere are irrational, careless, careless. Which is not careless? The opposite of [ rational ]\nThere are unlucky, happy, happy. Which is not happy? The opposite of [ lucky ]\n"}
{"task_id": "task68", "texts": "\nThere are optimistic, unhappy, optimistic. Which is not optimistic? The opposite of happy\nThere are brave, uncomfortable, uncomfortable. Which is not uncomfortable? The opposite of cowardly\nThere are dishonest, dishonest, ignorant. Which is not dishonest? The opposite of [ knowledgeable ]\nThere are irresponsible, sad, sad. Which is not sad? The opposite of [ responsible ]\nThere are rich, dangerous, dangerous. Which is not dangerous? The opposite of [ poor ]\nThere are cowardly, cowardly, unhappy. Which is not cowardly? The opposite of [ happy ]\nThere are cowardly, incorrect, cowardly. Which is not cowardly? The opposite of [ correct ]\nThere are active, interesting, interesting. Which is not interesting? The opposite of [ passive ]\n"}
{"task_id": "task68", "texts": "\nThere are comfortable, dangerous, dangerous. Which is not dangerous? The opposite of uncomfortable\nThere are responsible, responsible, brave. Which is not responsible? The opposite of cowardly\nThere are disloyal, slow, slow. Which is not slow? The opposite of [ loyal ]\nThere are uninteresting, rational, rational. Which is not rational? The opposite of [ interesting ]\nThere are rich, rich, dishonest. Which is not rich? The opposite of [ honest ]\nThere are careless, interesting, interesting. Which is not interesting? The opposite of [ careful ]\nThere are dishonest, rich, dishonest. Which is not dishonest? The opposite of [ poor ]\nThere are irrational, unfriendly, irrational. Which is not irrational? The opposite of [ friendly ]\n"}
{"task_id": "task68", "texts": "\nThere are honest, honest, rational. Which is not honest? The opposite of irrational\nThere are boring, safe, boring. Which is not boring? The opposite of dangerous\nThere are dishonest, dishonest, uninteresting. Which is not dishonest? The opposite of [ interesting ]\nThere are sad, active, active. Which is not active? The opposite of [ happy ]\nThere are unhealthy, pessimistic, pessimistic. Which is not pessimistic? The opposite of [ healthy ]\nThere are uncomfortable, reliable, uncomfortable. Which is not uncomfortable? The opposite of [ unreliable ]\nThere are unhealthy, unhealthy, passive. Which is not unhealthy? The opposite of [ active ]\nThere are cowardly, wrong, wrong. Which is not wrong? The opposite of [ brave ]\n"}
{"task_id": "task68", "texts": "\nThere are optimistic, optimistic, sick. Which is not optimistic? The opposite of healthy\nThere are unlucky, unlucky, loyal. Which is not unlucky? The opposite of disloyal\nThere are disloyal, unsuccessful, unsuccessful. Which is not unsuccessful? The opposite of [ loyal ]\nThere are ugly, fast, fast. Which is not fast? The opposite of [ beautiful ]\nThere are knowledgeable, stingy, knowledgeable. Which is not knowledgeable? The opposite of [ generous ]\nThere are successful, honest, honest. Which is not honest? The opposite of [ unsuccessful ]\nThere are loyal, unpopular, loyal. Which is not loyal? The opposite of [ popular ]\nThere are correct, weak, correct. Which is not correct? The opposite of [ strong ]\n"}
{"task_id": "task68", "texts": "\nThere are fast, fast, correct. Which is not fast? The opposite of incorrect\nThere are careless, optimistic, careless. Which is not careless? The opposite of pessimistic\nThere are short, short, cowardly. Which is not short? The opposite of [ brave ]\nThere are wrong, successful, wrong. Which is not wrong? The opposite of [ unsuccessful ]\nThere are right, right, sad. Which is not right? The opposite of [ happy ]\nThere are strong, strong, brave. Which is not strong? The opposite of [ cowardly ]\nThere are lucky, successful, successful. Which is not successful? The opposite of [ unlucky ]\nThere are safe, tall, tall. Which is not tall? The opposite of [ dangerous ]\n"}
{"task_id": "task69", "texts": "\nThere are weak, healthy, healthy. Which is different? The opposite of strong\nThere are rich, dishonest, rich. Which is different? The opposite of honest\nThere are irrational, unlucky, irrational. Which is different? The opposite of [ lucky ]\nThere are sick, sick, unreliable. Which is different? The opposite of [ reliable ]\nThere are lucky, lucky, popular. Which is different? The opposite of [ unpopular ]\nThere are loyal, sad, sad. Which is different? The opposite of [ disloyal ]\nThere are unhealthy, unlucky, unlucky. Which is different? The opposite of [ healthy ]\nThere are comfortable, comfortable, ignorant. Which is different? The opposite of [ knowledgeable ]\n"}
{"task_id": "task69", "texts": "\nThere are incorrect, uncomfortable, incorrect. Which is different? The opposite of comfortable\nThere are disloyal, disloyal, ignorant. Which is different? The opposite of knowledgeable\nThere are cowardly, honest, cowardly. Which is different? The opposite of [ dishonest ]\nThere are brave, comfortable, comfortable. Which is different? The opposite of [ cowardly ]\nThere are knowledgeable, knowledgeable, correct. Which is different? The opposite of [ incorrect ]\nThere are careful, poor, careful. Which is different? The opposite of [ rich ]\nThere are unpopular, unpopular, lucky. Which is different? The opposite of [ unlucky ]\nThere are responsible, popular, popular. Which is different? The opposite of [ irresponsible ]\n"}
{"task_id": "task69", "texts": "\nThere are sick, boring, boring. Which is different? The opposite of healthy\nThere are poor, right, poor. Which is different? The opposite of wrong\nThere are responsible, dishonest, responsible. Which is different? The opposite of [ honest ]\nThere are irresponsible, short, irresponsible. Which is different? The opposite of [ tall ]\nThere are loyal, loyal, safe. Which is different? The opposite of [ dangerous ]\nThere are poor, strong, strong. Which is different? The opposite of [ rich ]\nThere are loyal, loyal, popular. Which is different? The opposite of [ unpopular ]\nThere are lucky, lucky, honest. Which is different? The opposite of [ dishonest ]\n"}
{"task_id": "task69", "texts": "\nThere are cowardly, cowardly, friendly. Which is different? The opposite of unfriendly\nThere are unreliable, rational, unreliable. Which is different? The opposite of irrational\nThere are healthy, passive, passive. Which is different? The opposite of [ sick ]\nThere are dishonest, dishonest, incorrect. Which is different? The opposite of [ correct ]\nThere are friendly, safe, friendly. Which is different? The opposite of [ dangerous ]\nThere are clean, rational, rational. Which is different? The opposite of [ dirty ]\nThere are unhealthy, tall, unhealthy. Which is different? The opposite of [ short ]\nThere are ignorant, ignorant, irresponsible. Which is different? The opposite of [ responsible ]\n"}
{"task_id": "task69", "texts": "\nThere are unlucky, cowardly, unlucky. Which is different? The opposite of brave\nThere are incorrect, unpopular, unpopular. Which is different? The opposite of correct\nThere are ignorant, bad, ignorant. Which is different? The opposite of [ good ]\nThere are wrong, wrong, interesting. Which is different? The opposite of [ boring ]\nThere are weak, boring, boring. Which is different? The opposite of [ strong ]\nThere are boring, careful, careful. Which is different? The opposite of [ interesting ]\nThere are dirty, beautiful, beautiful. Which is different? The opposite of [ clean ]\nThere are reliable, reliable, bad. Which is different? The opposite of [ good ]\n"}
{"task_id": "task69", "texts": "\nThere are bad, tall, tall. Which is different? The opposite of good\nThere are uninteresting, unreliable, unreliable. Which is different? The opposite of interesting\nThere are boring, wrong, wrong. Which is different? The opposite of [ interesting ]\nThere are rich, rich, slow. Which is different? The opposite of [ fast ]\nThere are incorrect, sick, incorrect. Which is different? The opposite of [ healthy ]\nThere are incorrect, incorrect, uncomfortable. Which is different? The opposite of [ comfortable ]\nThere are irresponsible, clean, clean. Which is different? The opposite of [ responsible ]\nThere are careless, optimistic, careless. Which is different? The opposite of [ pessimistic ]\n"}
{"task_id": "task69", "texts": "\nThere are poor, poor, unreliable. Which is different? The opposite of reliable\nThere are loyal, loyal, fast. Which is different? The opposite of slow\nThere are reliable, beautiful, reliable. Which is different? The opposite of [ ugly ]\nThere are dishonest, unfriendly, unfriendly. Which is different? The opposite of [ honest ]\nThere are healthy, rich, healthy. Which is different? The opposite of [ poor ]\nThere are pessimistic, sick, pessimistic. Which is different? The opposite of [ healthy ]\nThere are irrational, careless, careless. Which is different? The opposite of [ rational ]\nThere are unlucky, happy, happy. Which is different? The opposite of [ lucky ]\n"}
{"task_id": "task69", "texts": "\nThere are optimistic, unhappy, optimistic. Which is different? The opposite of happy\nThere are brave, uncomfortable, uncomfortable. Which is different? The opposite of cowardly\nThere are dishonest, dishonest, ignorant. Which is different? The opposite of [ knowledgeable ]\nThere are irresponsible, sad, sad. Which is different? The opposite of [ responsible ]\nThere are rich, dangerous, dangerous. Which is different? The opposite of [ poor ]\nThere are cowardly, cowardly, unhappy. Which is different? The opposite of [ happy ]\nThere are cowardly, incorrect, cowardly. Which is different? The opposite of [ correct ]\nThere are active, interesting, interesting. Which is different? The opposite of [ passive ]\n"}
{"task_id": "task69", "texts": "\nThere are comfortable, dangerous, dangerous. Which is different? The opposite of uncomfortable\nThere are responsible, responsible, brave. Which is different? The opposite of cowardly\nThere are disloyal, slow, slow. Which is different? The opposite of [ loyal ]\nThere are uninteresting, rational, rational. Which is different? The opposite of [ interesting ]\nThere are rich, rich, dishonest. Which is different? The opposite of [ honest ]\nThere are careless, interesting, interesting. Which is different? The opposite of [ careful ]\nThere are dishonest, rich, dishonest. Which is different? The opposite of [ poor ]\nThere are irrational, unfriendly, irrational. Which is different? The opposite of [ friendly ]\n"}
{"task_id": "task69", "texts": "\nThere are honest, honest, rational. Which is different? The opposite of irrational\nThere are boring, safe, boring. Which is different? The opposite of dangerous\nThere are dishonest, dishonest, uninteresting. Which is different? The opposite of [ interesting ]\nThere are sad, active, active. Which is different? The opposite of [ happy ]\nThere are unhealthy, pessimistic, pessimistic. Which is different? The opposite of [ healthy ]\nThere are uncomfortable, reliable, uncomfortable. Which is different? The opposite of [ unreliable ]\nThere are unhealthy, unhealthy, passive. Which is different? The opposite of [ active ]\nThere are cowardly, wrong, wrong. Which is different? The opposite of [ brave ]\n"}
{"task_id": "task69", "texts": "\nThere are optimistic, optimistic, sick. Which is different? The opposite of healthy\nThere are unlucky, unlucky, loyal. Which is different? The opposite of disloyal\nThere are disloyal, unsuccessful, unsuccessful. Which is different? The opposite of [ loyal ]\nThere are ugly, fast, fast. Which is different? The opposite of [ beautiful ]\nThere are knowledgeable, stingy, knowledgeable. Which is different? The opposite of [ generous ]\nThere are successful, honest, honest. Which is different? The opposite of [ unsuccessful ]\nThere are loyal, unpopular, loyal. Which is different? The opposite of [ popular ]\nThere are correct, weak, correct. Which is different? The opposite of [ strong ]\n"}
{"task_id": "task69", "texts": "\nThere are fast, fast, correct. Which is different? The opposite of incorrect\nThere are careless, optimistic, careless. Which is different? The opposite of pessimistic\nThere are short, short, cowardly. Which is different? The opposite of [ brave ]\nThere are wrong, successful, wrong. Which is different? The opposite of [ unsuccessful ]\nThere are right, right, sad. Which is different? The opposite of [ happy ]\nThere are strong, strong, brave. Which is different? The opposite of [ cowardly ]\nThere are lucky, successful, successful. Which is different? The opposite of [ unlucky ]\nThere are safe, tall, tall. Which is different? The opposite of [ dangerous ]\n"}
{"task_id": "task70", "texts": "\nThere are 11 o'clock, 8 o'clock, 11 o'clock. Which is not 11 o'clock? The time just before 9 o'clock\nThere are 2017, 2014, 2014. Which is not 2014? The year just before 2018\nThere are 4 o'clock, 4 o'clock, 9 o'clock. Which is not 4 o'clock? The time just before [ 10 o'clock ]\nThere are summer, autumn, summer. Which is not summer? The season just before [ winter ]\nThere are 2015, 2015, 2018. Which is not 2015? The year just before [ 2019 ]\nThere are March, March, June. Which is not March? The month just before [ July ]\nThere are July, May, May. Which is not May? The month just before [ August ]\nThere are Wednesday, Friday, Wednesday. Which is not Wednesday? The day just before [ Saturday ]\n"}
{"task_id": "task70", "texts": "\nThere are 10 o'clock, 10 o'clock, 5 o'clock. Which is not 10 o'clock? The time just before 6 o'clock\nThere are summer, autumn, summer. Which is not summer? The season just before winter\nThere are 9 o'clock, 2 o'clock, 2 o'clock. Which is not 2 o'clock? The time just before [ 10 o'clock ]\nThere are Friday, Tuesday, Friday. Which is not Friday? The day just before [ Wednesday ]\nThere are 10 o'clock, 2 o'clock, 10 o'clock. Which is not 10 o'clock? The time just before [ 3 o'clock ]\nThere are autumn, summer, summer. Which is not summer? The season just before [ winter ]\nThere are 2012, 2018, 2018. Which is not 2018? The year just before [ 2013 ]\nThere are 2 o'clock, 2 o'clock, 10 o'clock. Which is not 2 o'clock? The time just before [ 11 o'clock ]\n"}
{"task_id": "task70", "texts": "\nThere are May, May, July. Which is not May? The month just before August\nThere are Wednesday, Wednesday, Tuesday. Which is not Wednesday? The day just before Wednesday\nThere are summer, autumn, autumn. Which is not autumn? The season just before [ autumn ]\nThere are 2015, 2014, 2014. Which is not 2014? The year just before [ 2016 ]\nThere are autumn, summer, summer. Which is not summer? The season just before [ winter ]\nThere are Tuesday, Friday, Friday. Which is not Friday? The day just before [ Wednesday ]\nThere are August, June, August. Which is not August? The month just before [ July ]\nThere are May, March, May. Which is not May? The month just before [ April ]\n"}
{"task_id": "task70", "texts": "\nThere are autumn, summer, autumn. Which is not autumn? The season just before autumn\nThere are November, November, May. Which is not November? The month just before June\nThere are 7 o'clock, 4 o'clock, 4 o'clock. Which is not 4 o'clock? The time just before [ 8 o'clock ]\nThere are November, October, October. Which is not October? The month just before [ December ]\nThere are 2015, 2015, 2011. Which is not 2015? The year just before [ 2012 ]\nThere are 2013, 2018, 2018. Which is not 2018? The year just before [ 2014 ]\nThere are summer, autumn, autumn. Which is not autumn? The season just before [ autumn ]\nThere are 2011, 2015, 2011. Which is not 2011? The year just before [ 2016 ]\n"}
{"task_id": "task70", "texts": "\nThere are November, June, November. Which is not November? The month just before July\nThere are 2018, 2017, 2018. Which is not 2018? The year just before 2018\nThere are 2017, 2015, 2015. Which is not 2015? The year just before [ 2018 ]\nThere are 11 o'clock, 11 o'clock, 7 o'clock. Which is not 11 o'clock? The time just before [ 8 o'clock ]\nThere are Friday, Thursday, Thursday. Which is not Thursday? The day just before [ Saturday ]\nThere are 9 o'clock, 3 o'clock, 9 o'clock. Which is not 9 o'clock? The time just before [ 4 o'clock ]\nThere are October, October, March. Which is not October? The month just before [ April ]\nThere are summer, summer, autumn. Which is not summer? The season just before [ winter ]\n"}
{"task_id": "task70", "texts": "\nThere are July, February, July. Which is not July? The month just before March\nThere are 5 o'clock, 10 o'clock, 10 o'clock. Which is not 10 o'clock? The time just before 6 o'clock\nThere are March, November, November. Which is not November? The month just before [ April ]\nThere are autumn, summer, autumn. Which is not autumn? The season just before [ autumn ]\nThere are November, September, November. Which is not November? The month just before [ October ]\nThere are 5 o'clock, 5 o'clock, 7 o'clock. Which is not 5 o'clock? The time just before [ 8 o'clock ]\nThere are summer, autumn, summer. Which is not summer? The season just before [ winter ]\nThere are summer, summer, autumn. Which is not summer? The season just before [ winter ]\n"}
{"task_id": "task70", "texts": "\nThere are Thursday, Tuesday, Thursday. Which is not Thursday? The day just before Wednesday\nThere are Tuesday, Tuesday, Wednesday. Which is not Tuesday? The day just before Thursday\nThere are summer, autumn, autumn. Which is not autumn? The season just before [ autumn ]\nThere are November, February, November. Which is not November? The month just before [ March ]\nThere are 7 o'clock, 6 o'clock, 7 o'clock. Which is not 7 o'clock? The time just before [ 7 o'clock ]\nThere are November, September, November. Which is not November? The month just before [ October ]\nThere are 2011, 2013, 2013. Which is not 2013? The year just before [ 2012 ]\nThere are August, August, September. Which is not August? The month just before [ October ]\n"}
{"task_id": "task70", "texts": "\nThere are 10 o'clock, 5 o'clock, 5 o'clock. Which is not 5 o'clock? The time just before 11 o'clock\nThere are Tuesday, Friday, Friday. Which is not Friday? The day just before Wednesday\nThere are Wednesday, Tuesday, Wednesday. Which is not Wednesday? The day just before [ Wednesday ]\nThere are 2 o'clock, 2 o'clock, 7 o'clock. Which is not 2 o'clock? The time just before [ 8 o'clock ]\nThere are 2 o'clock, 6 o'clock, 2 o'clock. Which is not 2 o'clock? The time just before [ 7 o'clock ]\nThere are 2014, 2014, 2017. Which is not 2014? The year just before [ 2018 ]\nThere are Tuesday, Tuesday, Friday. Which is not Tuesday? The day just before [ Saturday ]\nThere are February, June, June. Which is not June? The month just before [ March ]\n"}
{"task_id": "task70", "texts": "\nThere are summer, autumn, summer. Which is not summer? The season just before winter\nThere are June, October, October. Which is not October? The month just before July\nThere are 2012, 2016, 2012. Which is not 2012? The year just before [ 2017 ]\nThere are 2 o'clock, 3 o'clock, 3 o'clock. Which is not 3 o'clock? The time just before [ 3 o'clock ]\nThere are September, September, May. Which is not September? The month just before [ June ]\nThere are summer, autumn, autumn. Which is not autumn? The season just before [ autumn ]\nThere are autumn, summer, summer. Which is not summer? The season just before [ winter ]\nThere are Wednesday, Wednesday, Tuesday. Which is not Wednesday? The day just before [ Wednesday ]\n"}
{"task_id": "task70", "texts": "\nThere are autumn, autumn, summer. Which is not autumn? The season just before autumn\nThere are 2016, 2011, 2016. Which is not 2016? The year just before 2012\nThere are 8 o'clock, 4 o'clock, 8 o'clock. Which is not 8 o'clock? The time just before [ 5 o'clock ]\nThere are 2013, 2014, 2014. Which is not 2014? The year just before [ 2014 ]\nThere are 2012, 2012, 2013. Which is not 2012? The year just before [ 2014 ]\nThere are 2015, 2017, 2017. Which is not 2017? The year just before [ 2016 ]\nThere are Thursday, Wednesday, Wednesday. Which is not Wednesday? The day just before [ Friday ]\nThere are 2018, 2016, 2018. Which is not 2018? The year just before [ 2017 ]\n"}
{"task_id": "task70", "texts": "\nThere are 6 o'clock, 6 o'clock, 10 o'clock. Which is not 6 o'clock? The time just before 11 o'clock\nThere are 11 o'clock, 6 o'clock, 11 o'clock. Which is not 11 o'clock? The time just before 7 o'clock\nThere are summer, autumn, autumn. Which is not autumn? The season just before [ autumn ]\nThere are 4 o'clock, 4 o'clock, 3 o'clock. Which is not 4 o'clock? The time just before [ 4 o'clock ]\nThere are October, March, October. Which is not October? The month just before [ April ]\nThere are 2016, 2014, 2014. Which is not 2014? The year just before [ 2017 ]\nThere are April, September, September. Which is not September? The month just before [ May ]\nThere are 7 o'clock, 7 o'clock, 6 o'clock. Which is not 7 o'clock? The time just before [ 7 o'clock ]\n"}
{"task_id": "task70", "texts": "\nThere are Friday, Wednesday, Friday. Which is not Friday? The day just before Thursday\nThere are autumn, summer, summer. Which is not summer? The season just before winter\nThere are summer, summer, autumn. Which is not summer? The season just before [ winter ]\nThere are Thursday, Friday, Friday. Which is not Friday? The day just before [ Friday ]\nThere are 2011, 2018, 2011. Which is not 2011? The year just before [ 2019 ]\nThere are February, February, October. Which is not February? The month just before [ November ]\nThere are 2016, 2016, 2018. Which is not 2016? The year just before [ 2019 ]\nThere are 7 o'clock, 11 o'clock, 11 o'clock. Which is not 11 o'clock? The time just before [ 8 o'clock ]\n"}
{"task_id": "task71", "texts": "\nThere are 2017, 2011, 2017. Which is different? The year just before 2012\nThere are 2012, 2017, 2017. Which is different? The year just before 2013\nThere are June, June, April. Which is different? The month just before [ May ]\nThere are June, November, November. Which is different? The month just before [ July ]\nThere are 2016, 2015, 2016. Which is different? The year just before [ 2016 ]\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just before [ Friday ]\nThere are March, May, March. Which is different? The month just before [ June ]\nThere are February, February, June. Which is different? The month just before [ July ]\n"}
{"task_id": "task71", "texts": "\nThere are 8 o'clock, 8 o'clock, 2 o'clock. Which is different? The time just before 3 o'clock\nThere are 2017, 2016, 2016. Which is different? The year just before 2018\nThere are October, April, October. Which is different? The month just before [ May ]\nThere are June, May, June. Which is different? The month just before [ June ]\nThere are 2017, 2018, 2018. Which is different? The year just before [ 2018 ]\nThere are 5 o'clock, 5 o'clock, 7 o'clock. Which is different? The time just before [ 8 o'clock ]\nThere are 2012, 2015, 2012. Which is different? The year just before [ 2016 ]\nThere are Tuesday, Wednesday, Tuesday. Which is different? The day just before [ Thursday ]\n"}
{"task_id": "task71", "texts": "\nThere are autumn, summer, autumn. Which is different? The season just before autumn\nThere are 2 o'clock, 2 o'clock, 3 o'clock. Which is different? The time just before 4 o'clock\nThere are 11 o'clock, 11 o'clock, 5 o'clock. Which is different? The time just before [ 6 o'clock ]\nThere are 11 o'clock, 2 o'clock, 11 o'clock. Which is different? The time just before [ 3 o'clock ]\nThere are 3 o'clock, 6 o'clock, 6 o'clock. Which is different? The time just before [ 4 o'clock ]\nThere are 8 o'clock, 10 o'clock, 8 o'clock. Which is different? The time just before [ 11 o'clock ]\nThere are 2016, 2015, 2015. Which is different? The year just before [ 2017 ]\nThere are May, March, May. Which is different? The month just before [ April ]\n"}
{"task_id": "task71", "texts": "\nThere are 2012, 2012, 2015. Which is different? The year just before 2016\nThere are summer, summer, autumn. Which is different? The season just before winter\nThere are 7 o'clock, 2 o'clock, 2 o'clock. Which is different? The time just before [ 8 o'clock ]\nThere are October, August, October. Which is different? The month just before [ September ]\nThere are October, May, May. Which is different? The month just before [ November ]\nThere are 8 o'clock, 6 o'clock, 8 o'clock. Which is different? The time just before [ 7 o'clock ]\nThere are 7 o'clock, 7 o'clock, 5 o'clock. Which is different? The time just before [ 6 o'clock ]\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just before [ Friday ]\n"}
{"task_id": "task71", "texts": "\nThere are Tuesday, Thursday, Thursday. Which is different? The day just before Wednesday\nThere are October, March, October. Which is different? The month just before April\nThere are 9 o'clock, 9 o'clock, 8 o'clock. Which is different? The time just before [ 9 o'clock ]\nThere are 2011, 2013, 2013. Which is different? The year just before [ 2012 ]\nThere are 11 o'clock, 3 o'clock, 3 o'clock. Which is different? The time just before [ 12 o'clock ]\nThere are autumn, autumn, summer. Which is different? The season just before [ autumn ]\nThere are 3 o'clock, 4 o'clock, 3 o'clock. Which is different? The time just before [ 5 o'clock ]\nThere are 2017, 2016, 2016. Which is different? The year just before [ 2018 ]\n"}
{"task_id": "task71", "texts": "\nThere are 7 o'clock, 11 o'clock, 7 o'clock. Which is different? The time just before 12 o'clock\nThere are 2015, 2015, 2011. Which is different? The year just before 2012\nThere are Tuesday, Friday, Friday. Which is different? The day just before [ Wednesday ]\nThere are autumn, autumn, summer. Which is different? The season just before [ autumn ]\nThere are 2017, 2011, 2011. Which is different? The year just before [ 2018 ]\nThere are summer, autumn, autumn. Which is different? The season just before [ autumn ]\nThere are 2015, 2011, 2015. Which is different? The year just before [ 2012 ]\nThere are Thursday, Thursday, Wednesday. Which is different? The day just before [ Thursday ]\n"}
{"task_id": "task71", "texts": "\nThere are summer, autumn, summer. Which is different? The season just before winter\nThere are summer, summer, autumn. Which is different? The season just before winter\nThere are autumn, autumn, summer. Which is different? The season just before [ autumn ]\nThere are 2012, 2012, 2016. Which is different? The year just before [ 2017 ]\nThere are Tuesday, Thursday, Thursday. Which is different? The day just before [ Wednesday ]\nThere are summer, autumn, autumn. Which is different? The season just before [ autumn ]\nThere are November, February, November. Which is different? The month just before [ March ]\nThere are 7 o'clock, 6 o'clock, 7 o'clock. Which is different? The time just before [ 7 o'clock ]\n"}
{"task_id": "task71", "texts": "\nThere are March, November, March. Which is different? The month just before December\nThere are July, July, June. Which is different? The month just before July\nThere are 10 o'clock, 8 o'clock, 10 o'clock. Which is different? The time just before [ 9 o'clock ]\nThere are June, June, September. Which is different? The month just before [ October ]\nThere are autumn, summer, autumn. Which is different? The season just before [ autumn ]\nThere are Wednesday, Tuesday, Wednesday. Which is different? The day just before [ Wednesday ]\nThere are 2012, 2017, 2017. Which is different? The year just before [ 2013 ]\nThere are Thursday, Friday, Friday. Which is different? The day just before [ Friday ]\n"}
{"task_id": "task71", "texts": "\nThere are 2012, 2017, 2017. Which is different? The year just before 2013\nThere are March, October, October. Which is different? The month just before April\nThere are 2013, 2013, 2018. Which is different? The year just before [ 2019 ]\nThere are 8 o'clock, 8 o'clock, 11 o'clock. Which is different? The time just before [ 12 o'clock ]\nThere are March, August, March. Which is different? The month just before [ September ]\nThere are summer, autumn, autumn. Which is different? The season just before [ autumn ]\nThere are 5 o'clock, 6 o'clock, 6 o'clock. Which is different? The time just before [ 6 o'clock ]\nThere are 3 o'clock, 10 o'clock, 3 o'clock. Which is different? The time just before [ 11 o'clock ]\n"}
{"task_id": "task71", "texts": "\nThere are 2016, 2016, 2011. Which is different? The year just before 2012\nThere are February, June, June. Which is different? The month just before March\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just before [ Friday ]\nThere are Tuesday, Tuesday, Friday. Which is different? The day just before [ Saturday ]\nThere are June, November, June. Which is different? The month just before [ December ]\nThere are February, July, July. Which is different? The month just before [ March ]\nThere are summer, autumn, autumn. Which is different? The season just before [ autumn ]\nThere are 4 o'clock, 8 o'clock, 8 o'clock. Which is different? The time just before [ 5 o'clock ]\n"}
{"task_id": "task71", "texts": "\nThere are summer, autumn, summer. Which is different? The season just before winter\nThere are 10 o'clock, 4 o'clock, 4 o'clock. Which is different? The time just before 11 o'clock\nThere are 2011, 2016, 2011. Which is different? The year just before [ 2017 ]\nThere are 2013, 2013, 2016. Which is different? The year just before [ 2017 ]\nThere are Thursday, Friday, Friday. Which is different? The day just before [ Friday ]\nThere are Thursday, Friday, Thursday. Which is different? The day just before [ Saturday ]\nThere are October, October, May. Which is different? The month just before [ June ]\nThere are 2014, 2016, 2016. Which is different? The year just before [ 2015 ]\n"}
{"task_id": "task71", "texts": "\nThere are Thursday, Friday, Thursday. Which is different? The day just before Saturday\nThere are Friday, Friday, Thursday. Which is different? The day just before Friday\nThere are Thursday, Thursday, Friday. Which is different? The day just before [ Saturday ]\nThere are 2012, 2016, 2012. Which is different? The year just before [ 2017 ]\nThere are 2 o'clock, 3 o'clock, 3 o'clock. Which is different? The time just before [ 3 o'clock ]\nThere are September, September, May. Which is different? The month just before [ June ]\nThere are summer, autumn, autumn. Which is different? The season just before [ autumn ]\nThere are autumn, summer, summer. Which is different? The season just before [ winter ]\n"}
{"task_id": "task72", "texts": "\nThere are 11 o'clock, 8 o'clock, 11 o'clock. Which is not 11 o'clock? The time just after 7 o'clock\nThere are 2017, 2014, 2014. Which is not 2014? The year just after 2016\nThere are 4 o'clock, 4 o'clock, 9 o'clock. Which is not 4 o'clock? The time just after [ 8 o'clock ]\nThere are summer, autumn, summer. Which is not summer? The season just after [ summer ]\nThere are 2015, 2015, 2018. Which is not 2015? The year just after [ 2017 ]\nThere are March, March, June. Which is not March? The month just after [ May ]\nThere are July, May, May. Which is not May? The month just after [ June ]\nThere are Wednesday, Friday, Wednesday. Which is not Wednesday? The day just after [ Thursday ]\n"}
{"task_id": "task72", "texts": "\nThere are 10 o'clock, 10 o'clock, 5 o'clock. Which is not 10 o'clock? The time just after 4 o'clock\nThere are summer, autumn, summer. Which is not summer? The season just after summer\nThere are 9 o'clock, 2 o'clock, 2 o'clock. Which is not 2 o'clock? The time just after [ 8 o'clock ]\nThere are Friday, Tuesday, Friday. Which is not Friday? The day just after [ Monday ]\nThere are 10 o'clock, 2 o'clock, 10 o'clock. Which is not 10 o'clock? The time just after [ 1 o'clock ]\nThere are autumn, summer, summer. Which is not summer? The season just after [ summer ]\nThere are 2012, 2018, 2018. Which is not 2018? The year just after [ 2011 ]\nThere are 2 o'clock, 2 o'clock, 10 o'clock. Which is not 2 o'clock? The time just after [ 9 o'clock ]\n"}
{"task_id": "task72", "texts": "\nThere are May, May, July. Which is not May? The month just after June\nThere are Wednesday, Wednesday, Tuesday. Which is not Wednesday? The day just after Monday\nThere are summer, autumn, autumn. Which is not autumn? The season just after [ spring ]\nThere are 2015, 2014, 2014. Which is not 2014? The year just after [ 2014 ]\nThere are autumn, summer, summer. Which is not summer? The season just after [ summer ]\nThere are Tuesday, Friday, Friday. Which is not Friday? The day just after [ Monday ]\nThere are August, June, August. Which is not August? The month just after [ May ]\nThere are May, March, May. Which is not May? The month just after [ February ]\n"}
{"task_id": "task72", "texts": "\nThere are autumn, summer, autumn. Which is not autumn? The season just after spring\nThere are November, November, May. Which is not November? The month just after April\nThere are 7 o'clock, 4 o'clock, 4 o'clock. Which is not 4 o'clock? The time just after [ 6 o'clock ]\nThere are November, October, October. Which is not October? The month just after [ October ]\nThere are 2015, 2015, 2011. Which is not 2015? The year just after [ 2010 ]\nThere are 2013, 2018, 2018. Which is not 2018? The year just after [ 2012 ]\nThere are summer, autumn, autumn. Which is not autumn? The season just after [ spring ]\nThere are 2011, 2015, 2011. Which is not 2011? The year just after [ 2014 ]\n"}
{"task_id": "task72", "texts": "\nThere are November, June, November. Which is not November? The month just after May\nThere are 2018, 2017, 2018. Which is not 2018? The year just after 2016\nThere are 2017, 2015, 2015. Which is not 2015? The year just after [ 2016 ]\nThere are 11 o'clock, 11 o'clock, 7 o'clock. Which is not 11 o'clock? The time just after [ 6 o'clock ]\nThere are Friday, Thursday, Thursday. Which is not Thursday? The day just after [ Thursday ]\nThere are 9 o'clock, 3 o'clock, 9 o'clock. Which is not 9 o'clock? The time just after [ 2 o'clock ]\nThere are October, October, March. Which is not October? The month just after [ February ]\nThere are summer, summer, autumn. Which is not summer? The season just after [ summer ]\n"}
{"task_id": "task72", "texts": "\nThere are July, February, July. Which is not July? The month just after January\nThere are 5 o'clock, 10 o'clock, 10 o'clock. Which is not 10 o'clock? The time just after 4 o'clock\nThere are March, November, November. Which is not November? The month just after [ February ]\nThere are autumn, summer, autumn. Which is not autumn? The season just after [ spring ]\nThere are November, September, November. Which is not November? The month just after [ August ]\nThere are 5 o'clock, 5 o'clock, 7 o'clock. Which is not 5 o'clock? The time just after [ 6 o'clock ]\nThere are summer, autumn, summer. Which is not summer? The season just after [ summer ]\nThere are summer, summer, autumn. Which is not summer? The season just after [ summer ]\n"}
{"task_id": "task72", "texts": "\nThere are Thursday, Tuesday, Thursday. Which is not Thursday? The day just after Monday\nThere are Tuesday, Tuesday, Wednesday. Which is not Tuesday? The day just after Tuesday\nThere are summer, autumn, autumn. Which is not autumn? The season just after [ spring ]\nThere are November, February, November. Which is not November? The month just after [ January ]\nThere are 7 o'clock, 6 o'clock, 7 o'clock. Which is not 7 o'clock? The time just after [ 5 o'clock ]\nThere are November, September, November. Which is not November? The month just after [ August ]\nThere are 2011, 2013, 2013. Which is not 2013? The year just after [ 2010 ]\nThere are August, August, September. Which is not August? The month just after [ August ]\n"}
{"task_id": "task72", "texts": "\nThere are 10 o'clock, 5 o'clock, 5 o'clock. Which is not 5 o'clock? The time just after 9 o'clock\nThere are Tuesday, Friday, Friday. Which is not Friday? The day just after Monday\nThere are Wednesday, Tuesday, Wednesday. Which is not Wednesday? The day just after [ Monday ]\nThere are 2 o'clock, 2 o'clock, 7 o'clock. Which is not 2 o'clock? The time just after [ 6 o'clock ]\nThere are 2 o'clock, 6 o'clock, 2 o'clock. Which is not 2 o'clock? The time just after [ 5 o'clock ]\nThere are 2014, 2014, 2017. Which is not 2014? The year just after [ 2016 ]\nThere are Tuesday, Tuesday, Friday. Which is not Tuesday? The day just after [ Thursday ]\nThere are February, June, June. Which is not June? The month just after [ January ]\n"}
{"task_id": "task72", "texts": "\nThere are summer, autumn, summer. Which is not summer? The season just after summer\nThere are June, October, October. Which is not October? The month just after May\nThere are 2012, 2016, 2012. Which is not 2012? The year just after [ 2015 ]\nThere are 2 o'clock, 3 o'clock, 3 o'clock. Which is not 3 o'clock? The time just after [ 1 o'clock ]\nThere are September, September, May. Which is not September? The month just after [ April ]\nThere are summer, autumn, autumn. Which is not autumn? The season just after [ spring ]\nThere are autumn, summer, summer. Which is not summer? The season just after [ summer ]\nThere are Wednesday, Wednesday, Tuesday. Which is not Wednesday? The day just after [ Monday ]\n"}
{"task_id": "task72", "texts": "\nThere are autumn, autumn, summer. Which is not autumn? The season just after spring\nThere are 2016, 2011, 2016. Which is not 2016? The year just after 2010\nThere are 8 o'clock, 4 o'clock, 8 o'clock. Which is not 8 o'clock? The time just after [ 3 o'clock ]\nThere are 2013, 2014, 2014. Which is not 2014? The year just after [ 2012 ]\nThere are 2012, 2012, 2013. Which is not 2012? The year just after [ 2012 ]\nThere are 2015, 2017, 2017. Which is not 2017? The year just after [ 2014 ]\nThere are Thursday, Wednesday, Wednesday. Which is not Wednesday? The day just after [ Wednesday ]\nThere are 2018, 2016, 2018. Which is not 2018? The year just after [ 2015 ]\n"}
{"task_id": "task72", "texts": "\nThere are 6 o'clock, 6 o'clock, 10 o'clock. Which is not 6 o'clock? The time just after 9 o'clock\nThere are 11 o'clock, 6 o'clock, 11 o'clock. Which is not 11 o'clock? The time just after 5 o'clock\nThere are summer, autumn, autumn. Which is not autumn? The season just after [ spring ]\nThere are 4 o'clock, 4 o'clock, 3 o'clock. Which is not 4 o'clock? The time just after [ 2 o'clock ]\nThere are October, March, October. Which is not October? The month just after [ February ]\nThere are 2016, 2014, 2014. Which is not 2014? The year just after [ 2015 ]\nThere are April, September, September. Which is not September? The month just after [ March ]\nThere are 7 o'clock, 7 o'clock, 6 o'clock. Which is not 7 o'clock? The time just after [ 5 o'clock ]\n"}
{"task_id": "task72", "texts": "\nThere are Friday, Wednesday, Friday. Which is not Friday? The day just after Tuesday\nThere are autumn, summer, summer. Which is not summer? The season just after summer\nThere are summer, summer, autumn. Which is not summer? The season just after [ summer ]\nThere are Thursday, Friday, Friday. Which is not Friday? The day just after [ Wednesday ]\nThere are 2011, 2018, 2011. Which is not 2011? The year just after [ 2017 ]\nThere are February, February, October. Which is not February? The month just after [ September ]\nThere are 2016, 2016, 2018. Which is not 2016? The year just after [ 2017 ]\nThere are 7 o'clock, 11 o'clock, 11 o'clock. Which is not 11 o'clock? The time just after [ 6 o'clock ]\n"}
{"task_id": "task73", "texts": "\nThere are 2017, 2011, 2017. Which is different? The year just after 2010\nThere are 2012, 2017, 2017. Which is different? The year just after 2011\nThere are June, June, April. Which is different? The month just after [ March ]\nThere are June, November, November. Which is different? The month just after [ May ]\nThere are 2016, 2015, 2016. Which is different? The year just after [ 2014 ]\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just after [ Wednesday ]\nThere are March, May, March. Which is different? The month just after [ April ]\nThere are February, February, June. Which is different? The month just after [ May ]\n"}
{"task_id": "task73", "texts": "\nThere are 8 o'clock, 8 o'clock, 2 o'clock. Which is different? The time just after 1 o'clock\nThere are 2017, 2016, 2016. Which is different? The year just after 2016\nThere are October, April, October. Which is different? The month just after [ March ]\nThere are June, May, June. Which is different? The month just after [ April ]\nThere are 2017, 2018, 2018. Which is different? The year just after [ 2016 ]\nThere are 5 o'clock, 5 o'clock, 7 o'clock. Which is different? The time just after [ 6 o'clock ]\nThere are 2012, 2015, 2012. Which is different? The year just after [ 2014 ]\nThere are Tuesday, Wednesday, Tuesday. Which is different? The day just after [ Tuesday ]\n"}
{"task_id": "task73", "texts": "\nThere are autumn, summer, autumn. Which is different? The season just after spring\nThere are 2 o'clock, 2 o'clock, 3 o'clock. Which is different? The time just after 2 o'clock\nThere are 11 o'clock, 11 o'clock, 5 o'clock. Which is different? The time just after [ 4 o'clock ]\nThere are 11 o'clock, 2 o'clock, 11 o'clock. Which is different? The time just after [ 1 o'clock ]\nThere are 3 o'clock, 6 o'clock, 6 o'clock. Which is different? The time just after [ 2 o'clock ]\nThere are 8 o'clock, 10 o'clock, 8 o'clock. Which is different? The time just after [ 9 o'clock ]\nThere are 2016, 2015, 2015. Which is different? The year just after [ 2015 ]\nThere are May, March, May. Which is different? The month just after [ February ]\n"}
{"task_id": "task73", "texts": "\nThere are 2012, 2012, 2015. Which is different? The year just after 2014\nThere are summer, summer, autumn. Which is different? The season just after summer\nThere are 7 o'clock, 2 o'clock, 2 o'clock. Which is different? The time just after [ 6 o'clock ]\nThere are October, August, October. Which is different? The month just after [ July ]\nThere are October, May, May. Which is different? The month just after [ September ]\nThere are 8 o'clock, 6 o'clock, 8 o'clock. Which is different? The time just after [ 5 o'clock ]\nThere are 7 o'clock, 7 o'clock, 5 o'clock. Which is different? The time just after [ 4 o'clock ]\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just after [ Wednesday ]\n"}
{"task_id": "task73", "texts": "\nThere are Tuesday, Thursday, Thursday. Which is different? The day just after Monday\nThere are October, March, October. Which is different? The month just after February\nThere are 9 o'clock, 9 o'clock, 8 o'clock. Which is different? The time just after [ 7 o'clock ]\nThere are 2011, 2013, 2013. Which is different? The year just after [ 2010 ]\nThere are 11 o'clock, 3 o'clock, 3 o'clock. Which is different? The time just after [ 10 o'clock ]\nThere are autumn, autumn, summer. Which is different? The season just after [ spring ]\nThere are 3 o'clock, 4 o'clock, 3 o'clock. Which is different? The time just after [ 3 o'clock ]\nThere are 2017, 2016, 2016. Which is different? The year just after [ 2016 ]\n"}
{"task_id": "task73", "texts": "\nThere are 7 o'clock, 11 o'clock, 7 o'clock. Which is different? The time just after 10 o'clock\nThere are 2015, 2015, 2011. Which is different? The year just after 2010\nThere are Tuesday, Friday, Friday. Which is different? The day just after [ Monday ]\nThere are autumn, autumn, summer. Which is different? The season just after [ spring ]\nThere are 2017, 2011, 2011. Which is different? The year just after [ 2016 ]\nThere are summer, autumn, autumn. Which is different? The season just after [ spring ]\nThere are 2015, 2011, 2015. Which is different? The year just after [ 2010 ]\nThere are Thursday, Thursday, Wednesday. Which is different? The day just after [ Tuesday ]\n"}
{"task_id": "task73", "texts": "\nThere are summer, autumn, summer. Which is different? The season just after summer\nThere are summer, summer, autumn. Which is different? The season just after summer\nThere are autumn, autumn, summer. Which is different? The season just after [ spring ]\nThere are 2012, 2012, 2016. Which is different? The year just after [ 2015 ]\nThere are Tuesday, Thursday, Thursday. Which is different? The day just after [ Monday ]\nThere are summer, autumn, autumn. Which is different? The season just after [ spring ]\nThere are November, February, November. Which is different? The month just after [ January ]\nThere are 7 o'clock, 6 o'clock, 7 o'clock. Which is different? The time just after [ 5 o'clock ]\n"}
{"task_id": "task73", "texts": "\nThere are March, November, March. Which is different? The month just after October\nThere are July, July, June. Which is different? The month just after May\nThere are 10 o'clock, 8 o'clock, 10 o'clock. Which is different? The time just after [ 7 o'clock ]\nThere are June, June, September. Which is different? The month just after [ August ]\nThere are autumn, summer, autumn. Which is different? The season just after [ spring ]\nThere are Wednesday, Tuesday, Wednesday. Which is different? The day just after [ Monday ]\nThere are 2012, 2017, 2017. Which is different? The year just after [ 2011 ]\nThere are Thursday, Friday, Friday. Which is different? The day just after [ Wednesday ]\n"}
{"task_id": "task73", "texts": "\nThere are 2012, 2017, 2017. Which is different? The year just after 2011\nThere are March, October, October. Which is different? The month just after February\nThere are 2013, 2013, 2018. Which is different? The year just after [ 2017 ]\nThere are 8 o'clock, 8 o'clock, 11 o'clock. Which is different? The time just after [ 10 o'clock ]\nThere are March, August, March. Which is different? The month just after [ July ]\nThere are summer, autumn, autumn. Which is different? The season just after [ spring ]\nThere are 5 o'clock, 6 o'clock, 6 o'clock. Which is different? The time just after [ 4 o'clock ]\nThere are 3 o'clock, 10 o'clock, 3 o'clock. Which is different? The time just after [ 9 o'clock ]\n"}
{"task_id": "task73", "texts": "\nThere are 2016, 2016, 2011. Which is different? The year just after 2010\nThere are February, June, June. Which is different? The month just after January\nThere are Tuesday, Thursday, Tuesday. Which is different? The day just after [ Wednesday ]\nThere are Tuesday, Tuesday, Friday. Which is different? The day just after [ Thursday ]\nThere are June, November, June. Which is different? The month just after [ October ]\nThere are February, July, July. Which is different? The month just after [ January ]\nThere are summer, autumn, autumn. Which is different? The season just after [ spring ]\nThere are 4 o'clock, 8 o'clock, 8 o'clock. Which is different? The time just after [ 3 o'clock ]\n"}
{"task_id": "task73", "texts": "\nThere are summer, autumn, summer. Which is different? The season just after summer\nThere are 10 o'clock, 4 o'clock, 4 o'clock. Which is different? The time just after 9 o'clock\nThere are 2011, 2016, 2011. Which is different? The year just after [ 2015 ]\nThere are 2013, 2013, 2016. Which is different? The year just after [ 2015 ]\nThere are Thursday, Friday, Friday. Which is different? The day just after [ Wednesday ]\nThere are Thursday, Friday, Thursday. Which is different? The day just after [ Thursday ]\nThere are October, October, May. Which is different? The month just after [ April ]\nThere are 2014, 2016, 2016. Which is different? The year just after [ 2013 ]\n"}
{"task_id": "task73", "texts": "\nThere are Thursday, Friday, Thursday. Which is different? The day just after Thursday\nThere are Friday, Friday, Thursday. Which is different? The day just after Wednesday\nThere are Thursday, Thursday, Friday. Which is different? The day just after [ Thursday ]\nThere are 2012, 2016, 2012. Which is different? The year just after [ 2015 ]\nThere are 2 o'clock, 3 o'clock, 3 o'clock. Which is different? The time just after [ 1 o'clock ]\nThere are September, September, May. Which is different? The month just after [ April ]\nThere are summer, autumn, autumn. Which is different? The season just after [ spring ]\nThere are autumn, summer, summer. Which is different? The season just after [ summer ]\n"}
